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Merge pull request #19026 from chargerKong:dualquat

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Dual quaternion

* create dual quaternion;
basic operations, functions(exp,log,norm,inv), to/from mat, sclerp.

* add dqb, dqs, gdqb, to/from affine3;
change algorithm of norm, inv, getTranslation, createFromPitch, normalize；
change type translation to Vec3;
comment improve;

* try fix warning: unreferenced local function

* change exp calculation;
add func(obj) operations;

* Change the algorithm of log function;
add assumeUnit in getRotation;
remove dqs;
change std::vector to InputArray

* fix warning: doxygen and Vec<double, 0>

* fix warning: doxygen and Vec<double, 0>

* add inputarray param for gdqb

* change int to size_t

* win cl warning fix

* replace size_t by int at using Mat.at() function

* replace double by float

* interpolation fix

* replace (i, 0) to (i)

* core(quat): exclude ABI, test_dualquaternion=>test_quaternion.cpp

Co-authored-by: arsaratovtsev <arsaratovtsev@intel.com>
Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
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cmake/templates/opencv_abi.xml.in
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opencv2/core/opencl*
opencv2/core/parallel/backend/*
opencv2/core/private*
opencv2/core/quaternion*
opencv2/core/*quaternion*
opencv/cxeigen.hpp
opencv2/core/eigen.hpp
opencv2/flann/hdf5.h

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modules/core/include/opencv2/core/dualquaternion.hpp Normal file
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2020, Huawei Technologies Co., Ltd. All rights reserved.
// Third party copyrights are property of their respective owners.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Author: Liangqian Kong <kongliangqian@huawei.com>
// Longbu Wang <wanglongbu@huawei.com>
#ifndef OPENCV_CORE_DUALQUATERNION_HPP
#define OPENCV_CORE_DUALQUATERNION_HPP
#include <opencv2/core/quaternion.hpp>
#include <opencv2/core/affine.hpp>
namespace cv{
//! @addtogroup core
//! @{
template <typename _Tp> class DualQuat;
template <typename _Tp> std::ostream& operator<<(std::ostream&, const DualQuat<_Tp>&);
/**
* Dual quaternions were introduced to describe rotation together with translation while ordinary
* quaternions can only describe rotation. It can be used for shortest path pose interpolation,
* local pose optimization or volumetric deformation. More details can be found
* - https://en.wikipedia.org/wiki/Dual_quaternion
* - ["A beginners guide to dual-quaternions: what they are, how they work, and how to use them for 3D character hierarchies", Ben Kenwright, 2012](https://borodust.org/public/shared/beginner_dual_quats.pdf)
* - ["Dual Quaternions", Yan-Bin Jia, 2013](http://web.cs.iastate.edu/~cs577/handouts/dual-quaternion.pdf)
* - ["Geometric Skinning with Approximate Dual Quaternion Blending", Kavan, 2008](https://www.cs.utah.edu/~ladislav/kavan08geometric/kavan08geometric)
* - http://rodolphe-vaillant.fr/?e=29
*
* A unit dual quaternion can be classically represented as:
* \f[
* \begin{equation}
* \begin{split}
* \sigma &= \left(r+\frac{\epsilon}{2}tr\right)\\
* &= [w, x, y, z, w\_, x\_, y\_, z\_]
* \end{split}
* \end{equation}
* \f]
* where \f$r, t\f$ represents the rotation (ordinary unit quaternion) and translation (pure ordinary quaternion) respectively.
*
* A general dual quaternions which consist of two quaternions is usually represented in form of:
* \f[
* \sigma = p + \epsilon q
* \f]
* where the introduced dual unit \f$\epsilon\f$ satisfies \f$\epsilon^2 = \epsilon^3 =...=0\f$, and \f$p, q\f$ are quaternions.
*
* Alternatively, dual quaternions can also be interpreted as four components which are all [dual numbers](https://www.cs.utah.edu/~ladislav/kavan08geometric/kavan08geometric):
* \f[
* \sigma = \hat{q}_w + \hat{q}_xi + \hat{q}_yj + \hat{q}_zk
* \f]
* If we set \f$\hat{q}_x, \hat{q}_y\f$ and \f$\hat{q}_z\f$ equal to 0, a dual quaternion is transformed to a dual number. see normalize().
*
* If you want to create a dual quaternion, you can use:
*
* ```
* using namespace cv;
* double angle = CV_PI;
*
* // create from eight number
* DualQuatd dq1(1, 2, 3, 4, 5, 6, 7, 8); //p = [1,2,3,4]. q=[5,6,7,8]
*
* // create from Vec
* Vec<double, 8> v{1,2,3,4,5,6,7,8};
* DualQuatd dq_v{v};
*
* // create from two quaternion
* Quatd p(1, 2, 3, 4);
* Quatd q(5, 6, 7, 8);
* DualQuatd dq2 = DualQuatd::createFromQuat(p, q);
*
* // create from an angle, an axis and a translation
* Vec3d axis{0, 0, 1};
* Vec3d trans{3, 4, 5};
* DualQuatd dq3 = DualQuatd::createFromAngleAxisTrans(angle, axis, trans);
*
* // If you already have an instance of class Affine3, then you can use
* Affine3d R = dq3.toAffine3();
* DualQuatd dq4 = DualQuatd::createFromAffine3(R);
*
* // or create directly by affine transformation matrix Rt
* // see createFromMat() in detail for the form of Rt
* Matx44d Rt = dq3.toMat();
* DualQuatd dq5 = DualQuatd::createFromMat(Rt);
*
* // Any rotation + translation movement can
* // be expressed as a rotation + translation around the same line in space (expressed by Plucker
* // coords), and here's a way to represent it this way.
* Vec3d axis{1, 1, 1}; // axis will be normalized in createFromPitch
* Vec3d trans{3, 4 ,5};
* axis = axis / std::sqrt(axis.dot(axis));// The formula for computing moment that I use below requires a normalized axis
* Vec3d moment = 1.0 / 2 * (trans.cross(axis) + axis.cross(trans.cross(axis)) *
* std::cos(rotation_angle / 2) / std::sin(rotation_angle / 2));
* double d = trans.dot(qaxis);
* DualQuatd dq6 = DualQuatd::createFromPitch(angle, d, axis, moment);
* ```
*
* A point \f$v=(x, y, z)\f$ in form of dual quaternion is \f$[1+\epsilon v]=[1,0,0,0,0,x,y,z]\f$.
* The transformation of a point \f$v_1\f$ to another point \f$v_2\f$ under the dual quaternion \f$\sigma\f$ is
* \f[
* 1 + \epsilon v_2 = \sigma * (1 + \epsilon v_1) * \sigma^{\star}
* \f]
* where \f$\sigma^{\star}=p^*-\epsilon q^*.\f$
*
* A line in the \f$Pl\ddot{u}cker\f$ coordinates \f$(\hat{l}, m)\f$ defined by the dual quaternion \f$l=\hat{l}+\epsilon m\f$.
* To transform a line, \f[l_2 = \sigma * l_1 * \sigma^*,\f] where \f$\sigma=r+\frac{\epsilon}{2}rt\f$ and
* \f$\sigma^*=p^*+\epsilon q^*\f$.
*
* To extract the Vec<double, 8> or Vec<float, 8>, see toVec();
*
* To extract the affine transformation matrix, see toMat();
*
* To extract the instance of Affine3, see toAffine3();
*
* If two quaternions \f$q_0, q_1\f$ are needed to be interpolated, you can use sclerp()
* ```
* DualQuatd::sclerp(q0, q1, t)
* ```
* or dqblend().
* ```
* DualQuatd::dqblend(q0, q1, t)
* ```
* With more than two dual quaternions to be blended, you can use generalize linear dual quaternion blending
* with the corresponding weights, i.e. gdqblend().
*
*/
template <typename _Tp>
class CV_EXPORTS DualQuat{
static_assert(std::is_floating_point<_Tp>::value, "Dual quaternion only make sense with type of float or double");
using value_type = _Tp;
public:
static constexpr _Tp CV_DUAL_QUAT_EPS = (_Tp)1.e-6;
DualQuat();
/**
* @brief create from eight same type numbers.
*/
DualQuat(const _Tp w, const _Tp x, const _Tp y, const _Tp z, const _Tp w_, const _Tp x_, const _Tp y_, const _Tp z_);
/**
* @brief create from a double or float vector.
*/
DualQuat(const Vec<_Tp, 8> &q);
_Tp w, x, y, z, w_, x_, y_, z_;
/**
* @brief create Dual Quaternion from two same type quaternions p and q.
* A Dual Quaternion \f$\sigma\f$ has the form:
* \f[\sigma = p + \epsilon q\f]
* where p and q are defined as follows:
* \f[\begin{equation}
* \begin{split}
* p &= w + x\boldsymbol{i} + y\boldsymbol{j} + z\boldsymbol{k}\\
* q &= w\_ + x\_\boldsymbol{i} + y\_\boldsymbol{j} + z\_\boldsymbol{k}.
* \end{split}
* \end{equation}
* \f]
* The p and q are the real part and dual part respectively.
* @param realPart a quaternion, real part of dual quaternion.
* @param dualPart a quaternion, dual part of dual quaternion.
* @sa Quat
*/
static DualQuat<_Tp> createFromQuat(const Quat<_Tp> &realPart, const Quat<_Tp> &dualPart);
/**
* @brief create a dual quaternion from a rotation angle \f$\theta\f$, a rotation axis
* \f$\boldsymbol{u}\f$ and a translation \f$\boldsymbol{t}\f$.
* It generates a dual quaternion \f$\sigma\f$ in the form of
* \f[\begin{equation}
* \begin{split}
* \sigma &= r + \frac{\epsilon}{2}\boldsymbol{t}r \\
* &= [\cos(\frac{\theta}{2}), \boldsymbol{u}\sin(\frac{\theta}{2})]
* + \frac{\epsilon}{2}[0, \boldsymbol{t}][[\cos(\frac{\theta}{2}),
* \boldsymbol{u}\sin(\frac{\theta}{2})]]\\
* &= \cos(\frac{\theta}{2}) + \boldsymbol{u}\sin(\frac{\theta}{2})
* + \frac{\epsilon}{2}(-(\boldsymbol{t} \cdot \boldsymbol{u})\sin(\frac{\theta}{2})
* + \boldsymbol{t}\cos(\frac{\theta}{2}) + \boldsymbol{u} \times \boldsymbol{t} \sin(\frac{\theta}{2})).
* \end{split}
* \end{equation}\f]
* @param angle rotation angle.
* @param axis rotation axis.
* @param translation a vector of length 3.
* @note Axis will be normalized in this function. And translation is applied
* after the rotation. Use @ref createFromQuat(r, r * t / 2) to create a dual quaternion
* which translation is applied before rotation.
* @sa Quat
*/
static DualQuat<_Tp> createFromAngleAxisTrans(const _Tp angle, const Vec<_Tp, 3> &axis, const Vec<_Tp, 3> &translation);
/**
* @brief Transform this dual quaternion to an affine transformation matrix \f$M\f$.
* Dual quaternion consists of a rotation \f$r=[a,b,c,d]\f$ and a translation \f$t=[\Delta x,\Delta y,\Delta z]\f$. The
* affine transformation matrix \f$M\f$ has the form
* \f[
* \begin{bmatrix}
* 1-2(e_2^2 +e_3^2) &2(e_1e_2-e_0e_3) &2(e_0e_2+e_1e_3) &\Delta x\\
* 2(e_0e_3+e_1e_2) &1-2(e_1^2+e_3^2) &2(e_2e_3-e_0e_1) &\Delta y\\
* 2(e_1e_3-e_0e_2) &2(e_0e_1+e_2e_3) &1-2(e_1^2-e_2^2) &\Delta z\\
* 0&0&0&1
* \end{bmatrix}
* \f]
* if A is a matrix consisting of n points to be transformed, this could be achieved by
* \f[
* new\_A = M * A
* \f]
* where A has the form
* \f[
* \begin{bmatrix}
* x_0& x_1& x_2&...&x_n\\
* y_0& y_1& y_2&...&y_n\\
* z_0& z_1& z_2&...&z_n\\
* 1&1&1&...&1
* \end{bmatrix}
* \f]
* where the same subscript represent the same point. The size of A should be \f$[4,n]\f$.
* and the same size for matrix new_A.
* @param _R 4x4 matrix that represents rotations and translation.
* @note Translation is applied after the rotation. Use createFromQuat(r, r * t / 2) to create
* a dual quaternion which translation is applied before rotation.
*/
static DualQuat<_Tp> createFromMat(InputArray _R);
/**
* @brief create dual quaternion from an affine matrix. The definition of affine matrix can refer to createFromMat()
*/
static DualQuat<_Tp> createFromAffine3(const Affine3<_Tp> &R);
/**
* @brief A dual quaternion is a vector in form of
* \f[
* \begin{equation}
* \begin{split}
* \sigma &=\boldsymbol{p} + \epsilon \boldsymbol{q}\\
* &= \cos\hat{\frac{\theta}{2}}+\overline{\hat{l}}\sin\frac{\hat{\theta}}{2}
* \end{split}
* \end{equation}
* \f]
* where \f$\hat{\theta}\f$ is dual angle and \f$\overline{\hat{l}}\f$ is dual axis:
* \f[
* \hat{\theta}=\theta + \epsilon d,\\
* \overline{\hat{l}}= \hat{l} +\epsilon m.
* \f]
* In this representation, \f$\theta\f$ is rotation angle and \f$(\hat{l},m)\f$ is the screw axis, d is the translation distance along the axis.
*
* @param angle rotation angle.
* @param d translation along the rotation axis.
* @param axis rotation axis represented by quaternion with w = 0.
* @param moment the moment of line, and it should be orthogonal to axis.
* @note Translation is applied after the rotation. Use createFromQuat(r, r * t / 2) to create
* a dual quaternion which translation is applied before rotation.
*/
static DualQuat<_Tp> createFromPitch(const _Tp angle, const _Tp d, const Vec<_Tp, 3> &axis, const Vec<_Tp, 3> &moment);
/**
* @brief return a quaternion which represent the real part of dual quaternion.
* The definition of real part is in createFromQuat().
* @sa createFromQuat, getDualPart
*/
Quat<_Tp> getRealPart() const;
/**
* @brief return a quaternion which represent the dual part of dual quaternion.
* The definition of dual part is in createFromQuat().
* @sa createFromQuat, getRealPart
*/
Quat<_Tp> getDualPart() const;
/**
* @brief return the conjugate of a dual quaternion.
* \f[
* \begin{equation}
* \begin{split}
* \sigma^* &= (p + \epsilon q)^*
* &= (p^* + \epsilon q^*)
* \end{split}
* \end{equation}
* \f]
* @param dq a dual quaternion.
*/
template <typename T>
friend DualQuat<T> conjugate(const DualQuat<T> &dq);
/**
* @brief return the conjugate of a dual quaternion.
* \f[
* \begin{equation}
* \begin{split}
* \sigma^* &= (p + \epsilon q)^*
* &= (p^* + \epsilon q^*)
* \end{split}
* \end{equation}
* \f]
*/
DualQuat<_Tp> conjugate() const;
/**
* @brief return the rotation in quaternion form.
*/
Quat<_Tp> getRotation(QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT) const;
/**
* @brief return the translation vector.
* The rotation \f$r\f$ in this dual quaternion \f$\sigma\f$ is applied before translation \f$t\f$.
* The dual quaternion \f$\sigma\f$ is defined as
* \f[\begin{equation}
* \begin{split}
* \sigma &= p + \epsilon q \\
* &= r + \frac{\epsilon}{2}{t}r.
* \end{split}
* \end{equation}\f]
* Thus, the translation can be obtained as follows
* \f[t = 2qp^*.\f]
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, this dual quaternion assume to be a unit dual quaternion
* and this function will save some computations.
* @note This dual quaternion's translation is applied after the rotation.
*/
Vec<_Tp, 3> getTranslation(QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT) const;
/**
* @brief return the norm \f$||\sigma||\f$ of dual quaternion \f$\sigma = p + \epsilon q\f$.
* \f[
* \begin{equation}
* \begin{split}
* ||\sigma|| &= \sqrt{\sigma * \sigma^*} \\
* &= ||p|| + \epsilon \frac{p \cdot q}{||p||}.
* \end{split}
* \end{equation}
* \f]
* Generally speaking, the norm of a not unit dual
* quaternion is a dual number. For convenience, we return it in the form of a dual quaternion
* , i.e.
* \f[ ||\sigma|| = [||p||, 0, 0, 0, \frac{p \cdot q}{||p||}, 0, 0, 0].\f]
*
* @note The data type of dual number is dual quaternion.
*/
DualQuat<_Tp> norm() const;
/**
* @brief return a normalized dual quaternion.
* A dual quaternion can be expressed as
* \f[
* \begin{equation}
* \begin{split}
* \sigma &= p + \epsilon q\\
* &=||\sigma||\left(r+\frac{1}{2}tr\right)
* \end{split}
* \end{equation}
* \f]
* where \f$r, t\f$ represents the rotation (ordinary quaternion) and translation (pure ordinary quaternion) respectively,
* and \f$||\sigma||\f$ is the norm of dual quaternion(a dual number).
* A dual quaternion is unit if and only if
* \f[
* ||p||=1, p \cdot q=0
* \f]
* where \f$\cdot\f$ means dot product.
* The process of normalization is
* \f[
* \sigma_{u}=\frac{\sigma}{||\sigma||}
* \f]
* Next, we simply proof \f$\sigma_u\f$ is a unit dual quaternion:
* \f[
* \renewcommand{\Im}{\operatorname{Im}}
* \begin{equation}
* \begin{split}
* \sigma_{u}=\frac{\sigma}{||\sigma||}&=\frac{p + \epsilon q}{||p||+\epsilon\frac{p\cdot q}{||p||}}\\
* &=\frac{p}{||p||}+\epsilon\left(\frac{q}{||p||}-p\frac{p\cdot q}{||p||^3}\right)\\
* &=\frac{p}{||p||}+\epsilon\frac{1}{||p||^2}\left(qp^{*}-p\cdot q\right)\frac{p}{||p||}\\
* &=\frac{p}{||p||}+\epsilon\frac{1}{||p||^2}\Im(qp^*)\frac{p}{||p||}.\\
* \end{split}
* \end{equation}
* \f]
* As expected, the real part is a rotation and dual part is a pure quaternion.
*/
DualQuat<_Tp> normalize() const;
/**
* @brief if \f$\sigma = p + \epsilon q\f$ is a dual quaternion, p is not zero,
* the inverse dual quaternion is
* \f[\sigma^{-1} = \frac{\sigma^*}{||\sigma||^2}, \f]
* or equivalentlly,
* \f[\sigma^{-1} = p^{-1} - \epsilon p^{-1}qp^{-1}.\f]
* @param dq a dual quaternion.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, dual quaternion dq assume to be a unit dual quaternion
* and this function will save some computations.
*/
template <typename T>
friend DualQuat<T> inv(const DualQuat<T> &dq, QuatAssumeType assumeUnit);
/**
* @brief if \f$\sigma = p + \epsilon q\f$ is a dual quaternion, p is not zero,
* the inverse dual quaternion is
* \f[\sigma^{-1} = \frac{\sigma^*}{||\sigma||^2}, \f]
* or equivalentlly,
* \f[\sigma^{-1} = p^{-1} - \epsilon p^{-1}qp^{-1}.\f]
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, this dual quaternion assume to be a unit dual quaternion
* and this function will save some computations.
*/
DualQuat<_Tp> inv(QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT) const;
/**
* @brief return the dot product of two dual quaternion.
* @param p other dual quaternion.
*/
_Tp dot(DualQuat<_Tp> p) const;
/**
** @brief return the value of \f$p^t\f$ where p is a dual quaternion.
* This could be calculated as:
* \f[
* p^t = \exp(t\ln p)
* \f]
* @param dq a dual quaternion.
* @param t index of power function.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, dual quaternion dq assume to be a unit dual quaternion
* and this function will save some computations.
*/
template <typename T>
friend DualQuat<T> power(const DualQuat<T> &dq, const T t, QuatAssumeType assumeUnit);
/**
** @brief return the value of \f$p^t\f$ where p is a dual quaternion.
* This could be calculated as:
* \f[
* p^t = \exp(t\ln p)
* \f]
*
* @param t index of power function.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, this dual quaternion assume to be a unit dual quaternion
* and this function will save some computations.
*/
DualQuat<_Tp> power(const _Tp t, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT) const;
/**
* @brief return the value of \f$p^q\f$ where p and q are dual quaternions.
* This could be calculated as:
* \f[
* p^q = \exp(q\ln p)
* \f]
* @param p a dual quaternion.
* @param q a dual quaternion.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, dual quaternion p assume to be a dual unit quaternion
* and this function will save some computations.
*/
template <typename T>
friend DualQuat<T> power(const DualQuat<T>& p, const DualQuat<T>& q, QuatAssumeType assumeUnit);
/**
* @brief return the value of \f$p^q\f$ where p and q are dual quaternions.
* This could be calculated as:
* \f[
* p^q = \exp(q\ln p)
* \f]
*
* @param q a dual quaternion
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, this dual quaternion assume to be a dual unit quaternion
* and this function will save some computations.
*/
DualQuat<_Tp> power(const DualQuat<_Tp>& q, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT) const;
/**
* @brief return the value of exponential function value
* @param dq a dual quaternion.
*/
template <typename T>
friend DualQuat<T> exp(const DualQuat<T> &dq);
/**
* @brief return the value of exponential function value
*/
DualQuat<_Tp> exp() const;
/**
* @brief return the value of logarithm function value
*
* @param dq a dual quaternion.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, dual quaternion dq assume to be a unit dual quaternion
* and this function will save some computations.
*/
template <typename T>
friend DualQuat<T> log(const DualQuat<T> &dq, QuatAssumeType assumeUnit);
/**
* @brief return the value of logarithm function value
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, this dual quaternion assume to be a unit dual quaternion
* and this function will save some computations.
*/
DualQuat<_Tp> log(QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT) const;
/**
* @brief Transform this dual quaternion to a vector.
*/
Vec<_Tp, 8> toVec() const;
/**
* @brief Transform this dual quaternion to a affine transformation matrix
* the form of matrix, see createFromMat().
*/
Matx<_Tp, 4, 4> toMat(QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT) const;
/**
* @brief Transform this dual quaternion to a instance of Affine3.
*/
Affine3<_Tp> toAffine3(QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT) const;
/**
* @brief The screw linear interpolation(ScLERP) is an extension of spherical linear interpolation of dual quaternion.
* If \f$\sigma_1\f$ and \f$\sigma_2\f$ are two dual quaternions representing the initial and final pose.
* The interpolation of ScLERP function can be defined as:
* \f[
* ScLERP(t;\sigma_1,\sigma_2) = \sigma_1 * (\sigma_1^{-1} * \sigma_2)^t, t\in[0,1]
* \f]
*
* @param q1 a dual quaternion represents a initial pose.
* @param q2 a dual quaternion represents a final pose.
* @param t interpolation parameter
* @param directChange if true, it always return the shortest path.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, this dual quaternion assume to be a unit dual quaternion
* and this function will save some computations.
*
* For example
* ```
* double angle1 = CV_PI / 2;
* Vec3d axis{0, 0, 1};
* Vec3d t(0, 0, 3);
* DualQuatd initial = DualQuatd::createFromAngleAxisTrans(angle1, axis, t);
* double angle2 = CV_PI;
* DualQuatd final = DualQuatd::createFromAngleAxisTrans(angle2, axis, t);
* DualQuatd inter = DualQuatd::sclerp(initial, final, 0.5);
* ```
*/
static DualQuat<_Tp> sclerp(const DualQuat<_Tp> &q1, const DualQuat<_Tp> &q2, const _Tp t,
bool directChange=true, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT);
/**
* @brief The method of Dual Quaternion linear Blending(DQB) is to compute a transformation between dual quaternion
* \f$q_1\f$ and \f$q_2\f$ and can be defined as:
* \f[
* DQB(t;{\boldsymbol{q}}_1,{\boldsymbol{q}}_2)=
* \frac{(1-t){\boldsymbol{q}}_1+t{\boldsymbol{q}}_2}{||(1-t){\boldsymbol{q}}_1+t{\boldsymbol{q}}_2||}.
* \f]
* where \f$q_1\f$ and \f$q_2\f$ are unit dual quaternions representing the input transformations.
* If you want to use DQB that works for more than two rigid transformations, see @ref gdqblend
*
* @param q1 a unit dual quaternion representing the input transformations.
* @param q2 a unit dual quaternion representing the input transformations.
* @param t parameter \f$t\in[0,1]\f$.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, this dual quaternion assume to be a unit dual quaternion
* and this function will save some computations.
*
* @sa gdqblend
*/
static DualQuat<_Tp> dqblend(const DualQuat<_Tp> &q1, const DualQuat<_Tp> &q2, const _Tp t,
QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT);
/**
* @brief The generalized Dual Quaternion linear Blending works for more than two rigid transformations.
* If these transformations are expressed as unit dual quaternions \f$q_1,...,q_n\f$ with convex weights
* \f$w = (w_1,...,w_n)\f$, the generalized DQB is simply
* \f[
* gDQB(\boldsymbol{w};{\boldsymbol{q}}_1,...,{\boldsymbol{q}}_n)=\frac{w_1{\boldsymbol{q}}_1+...+w_n{\boldsymbol{q}}_n}
* {||w_1{\boldsymbol{q}}_1+...+w_n{\boldsymbol{q}}_n||}.
* \f]
* @param dualquat vector of dual quaternions
* @param weights vector of weights, the size of weights should be the same as dualquat, and the weights should
* satisfy \f$\sum_0^n w_{i} = 1\f$ and \f$w_i>0\f$.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, these dual quaternions assume to be unit quaternions
* and this function will save some computations.
* @note the type of weights' element should be the same as the date type of dual quaternion inside the dualquat.
*/
template <int cn>
static DualQuat<_Tp> gdqblend(const Vec<DualQuat<_Tp>, cn> &dualquat, InputArray weights,
QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT);
/**
* @brief The generalized Dual Quaternion linear Blending works for more than two rigid transformations.
* If these transformations are expressed as unit dual quaternions \f$q_1,...,q_n\f$ with convex weights
* \f$w = (w_1,...,w_n)\f$, the generalized DQB is simply
* \f[
* gDQB(\boldsymbol{w};{\boldsymbol{q}}_1,...,{\boldsymbol{q}}_n)=\frac{w_1{\boldsymbol{q}}_1+...+w_n{\boldsymbol{q}}_n}
* {||w_1{\boldsymbol{q}}_1+...+w_n{\boldsymbol{q}}_n||}.
* \f]
* @param dualquat The dual quaternions which have 8 channels and 1 row or 1 col.
* @param weights vector of weights, the size of weights should be the same as dualquat, and the weights should
* satisfy \f$\sum_0^n w_{i} = 1\f$ and \f$w_i>0\f$.
* @param assumeUnit if @ref QUAT_ASSUME_UNIT, these dual quaternions assume to be unit quaternions
* and this function will save some computations.
* @note the type of weights' element should be the same as the date type of dual quaternion inside the dualquat.
*/
static DualQuat<_Tp> gdqblend(InputArray dualquat, InputArray weights,
QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT);
/**
* @brief Return opposite dual quaternion \f$-p\f$
* which satisfies \f$p + (-p) = 0.\f$
*
* For example
* ```
* DualQuatd q{1, 2, 3, 4, 5, 6, 7, 8};
* std::cout << -q << std::endl; // [-1, -2, -3, -4, -5, -6, -7, -8]
* ```
*/
DualQuat<_Tp> operator-() const;
/**
* @brief return true if two dual quaternions p and q are nearly equal, i.e. when the absolute
* value of each \f$p_i\f$ and \f$q_i\f$ is less than CV_DUAL_QUAT_EPS.
*/
bool operator==(const DualQuat<_Tp>&) const;
/**
* @brief Subtraction operator of two dual quaternions p and q.
* It returns a new dual quaternion that each value is the sum of \f$p_i\f$ and \f$-q_i\f$.
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* DualQuatd q{5, 6, 7, 8, 9, 10, 11, 12};
* std::cout << p - q << std::endl; //[-4, -4, -4, -4, 4, -4, -4, -4]
* ```
*/
DualQuat<_Tp> operator-(const DualQuat<_Tp>&) const;
/**
* @brief Subtraction assignment operator of two dual quaternions p and q.
* It subtracts right operand from the left operand and assign the result to left operand.
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* DualQuatd q{5, 6, 7, 8, 9, 10, 11, 12};
* p -= q; // equivalent to p = p - q
* std::cout << p << std::endl; //[-4, -4, -4, -4, 4, -4, -4, -4]
*
* ```
*/
DualQuat<_Tp>& operator-=(const DualQuat<_Tp>&);
/**
* @brief Addition operator of two dual quaternions p and q.
* It returns a new dual quaternion that each value is the sum of \f$p_i\f$ and \f$q_i\f$.
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* DualQuatd q{5, 6, 7, 8, 9, 10, 11, 12};
* std::cout << p + q << std::endl; //[6, 8, 10, 12, 14, 16, 18, 20]
* ```
*/
DualQuat<_Tp> operator+(const DualQuat<_Tp>&) const;
/**
* @brief Addition assignment operator of two dual quaternions p and q.
* It adds right operand to the left operand and assign the result to left operand.
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* DualQuatd q{5, 6, 7, 8, 9, 10, 11, 12};
* p += q; // equivalent to p = p + q
* std::cout << p << std::endl; //[6, 8, 10, 12, 14, 16, 18, 20]
*
* ```
*/
DualQuat<_Tp>& operator+=(const DualQuat<_Tp>&);
/**
* @brief Multiplication assignment operator of two quaternions.
* It multiplies right operand with the left operand and assign the result to left operand.
*
* Rule of dual quaternion multiplication:
* The dual quaternion can be written as an ordered pair of quaternions [A, B]. Thus
* \f[
* \begin{equation}
* \begin{split}
* p * q &= [A, B][C, D]\\
* &=[AC, AD + BC]
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* DualQuatd q{5, 6, 7, 8, 9, 10, 11, 12};
* p *= q;
* std::cout << p << std::endl; //[-60, 12, 30, 24, -216, 80, 124, 120]
* ```
*/
DualQuat<_Tp>& operator*=(const DualQuat<_Tp>&);
/**
* @brief Multiplication assignment operator of a quaternions and a scalar.
* It multiplies right operand with the left operand and assign the result to left operand.
*
* Rule of dual quaternion multiplication with a scalar:
* \f[
* \begin{equation}
* \begin{split}
* p * s &= [w, x, y, z, w\_, x\_, y\_, z\_] * s\\
* &=[w s, x s, y s, z s, w\_ \space s, x\_ \space s, y\_ \space s, z\_ \space s].
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double s = 2.0;
* p *= s;
* std::cout << p << std::endl; //[2, 4, 6, 8, 10, 12, 14, 16]
* ```
* @note the type of scalar should be equal to the dual quaternion.
*/
DualQuat<_Tp> operator*=(const _Tp s);
/**
* @brief Multiplication operator of two dual quaternions q and p.
* Multiplies values on either side of the operator.
*
* Rule of dual quaternion multiplication:
* The dual quaternion can be written as an ordered pair of quaternions [A, B]. Thus
* \f[
* \begin{equation}
* \begin{split}
* p * q &= [A, B][C, D]\\
* &=[AC, AD + BC]
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* DualQuatd q{5, 6, 7, 8, 9, 10, 11, 12};
* std::cout << p * q << std::endl; //[-60, 12, 30, 24, -216, 80, 124, 120]
* ```
*/
DualQuat<_Tp> operator*(const DualQuat<_Tp>&) const;
/**
* @brief Division operator of a dual quaternions and a scalar.
* It divides left operand with the right operand and assign the result to left operand.
*
* Rule of dual quaternion division with a scalar:
* \f[
* \begin{equation}
* \begin{split}
* p / s &= [w, x, y, z, w\_, x\_, y\_, z\_] / s\\
* &=[w/s, x/s, y/s, z/s, w\_/s, x\_/s, y\_/s, z\_/s].
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double s = 2.0;
* p /= s; // equivalent to p = p / s
* std::cout << p << std::endl; //[0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4]
* ```
* @note the type of scalar should be equal to this dual quaternion.
*/
DualQuat<_Tp> operator/(const _Tp s) const;
/**
* @brief Division operator of two dual quaternions p and q.
* Divides left hand operand by right hand operand.
*
* Rule of dual quaternion division with a dual quaternion:
* \f[
* \begin{equation}
* \begin{split}
* p / q &= p * q.inv()\\
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* DualQuatd q{5, 6, 7, 8, 9, 10, 11, 12};
* std::cout << p / q << std::endl; // equivalent to p * q.inv()
* ```
*/
DualQuat<_Tp> operator/(const DualQuat<_Tp>&) const;
/**
* @brief Division assignment operator of two dual quaternions p and q;
* It divides left operand with the right operand and assign the result to left operand.
*
* Rule of dual quaternion division with a quaternion:
* \f[
* \begin{equation}
* \begin{split}
* p / q&= p * q.inv()\\
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* DualQuatd q{5, 6, 7, 8, 9, 10, 11, 12};
* p /= q; // equivalent to p = p * q.inv()
* std::cout << p << std::endl;
* ```
*/
DualQuat<_Tp>& operator/=(const DualQuat<_Tp>&);
/**
* @brief Division assignment operator of a dual quaternions and a scalar.
* It divides left operand with the right operand and assign the result to left operand.
*
* Rule of dual quaternion division with a scalar:
* \f[
* \begin{equation}
* \begin{split}
* p / s &= [w, x, y, z, w\_, x\_, y\_ ,z\_] / s\\
* &=[w / s, x / s, y / s, z / s, w\_ / \space s, x\_ / \space s, y\_ / \space s, z\_ / \space s].
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double s = 2.0;;
* p /= s; // equivalent to p = p / s
* std::cout << p << std::endl; //[0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0]
* ```
* @note the type of scalar should be equal to the dual quaternion.
*/
Quat<_Tp>& operator/=(const _Tp s);
/**
* @brief Addition operator of a scalar and a dual quaternions.
* Adds right hand operand from left hand operand.
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double scalar = 2.0;
* std::cout << scalar + p << std::endl; //[3.0, 2, 3, 4, 5, 6, 7, 8]
* ```
* @note the type of scalar should be equal to the dual quaternion.
*/
template <typename T>
friend DualQuat<T> cv::operator+(const T s, const DualQuat<T>&);
/**
* @brief Addition operator of a dual quaternions and a scalar.
* Adds right hand operand from left hand operand.
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double scalar = 2.0;
* std::cout << p + scalar << std::endl; //[3.0, 2, 3, 4, 5, 6, 7, 8]
* ```
* @note the type of scalar should be equal to the dual quaternion.
*/
template <typename T>
friend DualQuat<T> cv::operator+(const DualQuat<T>&, const T s);
/**
* @brief Multiplication operator of a scalar and a dual quaternions.
* It multiplies right operand with the left operand and assign the result to left operand.
*
* Rule of dual quaternion multiplication with a scalar:
* \f[
* \begin{equation}
* \begin{split}
* p * s &= [w, x, y, z, w\_, x\_, y\_, z\_] * s\\
* &=[w s, x s, y s, z s, w\_ \space s, x\_ \space s, y\_ \space s, z\_ \space s].
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double s = 2.0;
* std::cout << s * p << std::endl; //[2, 4, 6, 8, 10, 12, 14, 16]
* ```
* @note the type of scalar should be equal to the dual quaternion.
*/
template <typename T>
friend DualQuat<T> cv::operator*(const T s, const DualQuat<T>&);
/**
* @brief Subtraction operator of a dual quaternion and a scalar.
* Subtracts right hand operand from left hand operand.
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double scalar = 2.0;
* std::cout << p - scalar << std::endl; //[-1, 2, 3, 4, 5, 6, 7, 8]
* ```
* @note the type of scalar should be equal to the dual quaternion.
*/
template <typename T>
friend DualQuat<T> cv::operator-(const DualQuat<T>&, const T s);
/**
* @brief Subtraction operator of a scalar and a dual quaternions.
* Subtracts right hand operand from left hand operand.
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double scalar = 2.0;
* std::cout << scalar - p << std::endl; //[1.0, -2, -3, -4, -5, -6, -7, -8]
* ```
* @note the type of scalar should be equal to the dual quaternion.
*/
template <typename T>
friend DualQuat<T> cv::operator-(const T s, const DualQuat<T>&);
/**
* @brief Multiplication operator of a dual quaternions and a scalar.
* It multiplies right operand with the left operand and assign the result to left operand.
*
* Rule of dual quaternion multiplication with a scalar:
* \f[
* \begin{equation}
* \begin{split}
* p * s &= [w, x, y, z, w\_, x\_, y\_, z\_] * s\\
* &=[w s, x s, y s, z s, w\_ \space s, x\_ \space s, y\_ \space s, z\_ \space s].
* \end{split}
* \end{equation}
* \f]
*
* For example
* ```
* DualQuatd p{1, 2, 3, 4, 5, 6, 7, 8};
* double s = 2.0;
* std::cout << p * s << std::endl; //[2, 4, 6, 8, 10, 12, 14, 16]
* ```
* @note the type of scalar should be equal to the dual quaternion.
*/
template <typename T>
friend DualQuat<T> cv::operator*(const DualQuat<T>&, const T s);
template <typename S>
friend std::ostream& cv::operator<<(std::ostream&, const DualQuat<S>&);
};
using DualQuatd = DualQuat<double>;
using DualQuatf = DualQuat<float>;
//! @} core
}//namespace
#include "dualquaternion.inl.hpp"
#endif /* OPENCV_CORE_QUATERNION_HPP */

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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2020, Huawei Technologies Co., Ltd. All rights reserved.
// Third party copyrights are property of their respective owners.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Author: Liangqian Kong <kongliangqian@huawei.com>
// Longbu Wang <wanglongbu@huawei.com>
#ifndef OPENCV_CORE_DUALQUATERNION_INL_HPP
#define OPENCV_CORE_DUALQUATERNION_INL_HPP
#ifndef OPENCV_CORE_DUALQUATERNION_HPP
#error This is not a standalone header. Include dualquaternion.hpp instead.
#endif
///////////////////////////////////////////////////////////////////////////////////////
//Implementation
namespace cv {
template <typename T>
DualQuat<T>::DualQuat():w(0), x(0), y(0), z(0), w_(0), x_(0), y_(0), z_(0){};
template <typename T>
DualQuat<T>::DualQuat(const T vw, const T vx, const T vy, const T vz, const T _w, const T _x, const T _y, const T _z):
w(vw), x(vx), y(vy), z(vz), w_(_w), x_(_x), y_(_y), z_(_z){};
template <typename T>
DualQuat<T>::DualQuat(const Vec<T, 8> &q):w(q[0]), x(q[1]), y(q[2]), z(q[3]),
w_(q[4]), x_(q[5]), y_(q[6]), z_(q[7]){};
template <typename T>
DualQuat<T> DualQuat<T>::createFromQuat(const Quat<T> &realPart, const Quat<T> &dualPart)
{
T w = realPart.w;
T x = realPart.x;
T y = realPart.y;
T z = realPart.z;
T w_ = dualPart.w;
T x_ = dualPart.x;
T y_ = dualPart.y;
T z_ = dualPart.z;
return DualQuat<T>(w, x, y, z, w_, x_, y_, z_);
}
template <typename T>
DualQuat<T> DualQuat<T>::createFromAngleAxisTrans(const T angle, const Vec<T, 3> &axis, const Vec<T, 3> &trans)
{
Quat<T> r = Quat<T>::createFromAngleAxis(angle, axis);
Quat<T> t{0, trans[0], trans[1], trans[2]};
return createFromQuat(r, t * r / 2);
}
template <typename T>
DualQuat<T> DualQuat<T>::createFromMat(InputArray _R)
{
CV_CheckTypeEQ(_R.type(), cv::traits::Type<T>::value, "");
if (_R.size() != Size(4, 4))
{
CV_Error(Error::StsBadArg, "The input matrix must have 4 columns and 4 rows");
}
Mat R = _R.getMat();
Quat<T> r = Quat<T>::createFromRotMat(R.colRange(0, 3).rowRange(0, 3));
Quat<T> trans(0, R.at<T>(0, 3), R.at<T>(1, 3), R.at<T>(2, 3));
return createFromQuat(r, trans * r / 2);
}
template <typename T>
DualQuat<T> DualQuat<T>::createFromAffine3(const Affine3<T> &R)
{
return createFromMat(R.matrix);
}
template <typename T>
DualQuat<T> DualQuat<T>::createFromPitch(const T angle, const T d, const Vec<T, 3> &axis, const Vec<T, 3> &moment)
{
T half_angle = angle / 2, half_d = d / 2;
Quat<T> qaxis = Quat<T>(0, axis[0], axis[1], axis[2]).normalize();
Quat<T> qmoment = Quat<T>(0, moment[0], moment[1], moment[2]);
qmoment -= qaxis * axis.dot(moment);
Quat<T> dual = -half_d * std::sin(half_angle) + std::sin(half_angle) * qmoment +
half_d * std::cos(half_angle) * qaxis;
return createFromQuat(Quat<T>::createFromAngleAxis(angle, axis), dual);
}
template <typename T>
inline bool DualQuat<T>::operator==(const DualQuat<T> &q) const
{
return (abs(w - q.w) < CV_DUAL_QUAT_EPS && abs(x - q.x) < CV_DUAL_QUAT_EPS &&
abs(y - q.y) < CV_DUAL_QUAT_EPS && abs(z - q.z) < CV_DUAL_QUAT_EPS &&
abs(w_ - q.w_) < CV_DUAL_QUAT_EPS && abs(x_ - q.x_) < CV_DUAL_QUAT_EPS &&
abs(y_ - q.y_) < CV_DUAL_QUAT_EPS && abs(z_ - q.z_) < CV_DUAL_QUAT_EPS);
}
template <typename T>
inline Quat<T> DualQuat<T>::getRealPart() const
{
return Quat<T>(w, x, y, z);
}
template <typename T>
inline Quat<T> DualQuat<T>::getDualPart() const
{
return Quat<T>(w_, x_, y_, z_);
}
template <typename T>
inline DualQuat<T> conjugate(const DualQuat<T> &dq)
{
return dq.conjugate();
}
template <typename T>
inline DualQuat<T> DualQuat<T>::conjugate() const
{
return DualQuat<T>(w, -x, -y, -z, w_, -x_, -y_, -z_);
}
template <typename T>
DualQuat<T> DualQuat<T>::norm() const
{
Quat<T> real = getRealPart();
T realNorm = real.norm();
Quat<T> dual = getDualPart();
if (realNorm < CV_DUAL_QUAT_EPS){
return DualQuat<T>(0, 0, 0, 0, 0, 0, 0, 0);
}
return DualQuat<T>(realNorm, 0, 0, 0, real.dot(dual) / realNorm, 0, 0, 0);
}
template <typename T>
inline Quat<T> DualQuat<T>::getRotation(QuatAssumeType assumeUnit) const
{
if (assumeUnit)
{
return getRealPart();
}
return getRealPart().normalize();
}
template <typename T>
inline Vec<T, 3> DualQuat<T>::getTranslation(QuatAssumeType assumeUnit) const
{
Quat<T> trans = 2.0 * (getDualPart() * getRealPart().inv(assumeUnit));
return Vec<T, 3>{trans[1], trans[2], trans[3]};
}
template <typename T>
DualQuat<T> DualQuat<T>::normalize() const
{
Quat<T> p = getRealPart();
Quat<T> q = getDualPart();
T p_norm = p.norm();
if (p_norm < CV_DUAL_QUAT_EPS)
{
CV_Error(Error::StsBadArg, "Cannot normalize this dual quaternion: the norm is too small.");
}
Quat<T> p_nr = p / p_norm;
Quat<T> q_nr = q / p_norm;
return createFromQuat(p_nr, q_nr - p_nr * p_nr.dot(q_nr));
}
template <typename T>
inline T DualQuat<T>::dot(DualQuat<T> q) const
{
return q.w * w + q.x * x + q.y * y + q.z * z + q.w_ * w_ + q.x_ * x_ + q.y_ * y_ + q.z_ * z_;
}
template <typename T>
inline DualQuat<T> inv(const DualQuat<T> &dq, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
{
return dq.inv(assumeUnit);
}
template <typename T>
inline DualQuat<T> DualQuat<T>::inv(QuatAssumeType assumeUnit) const
{
Quat<T> real = getRealPart();
Quat<T> dual = getDualPart();
return createFromQuat(real.inv(assumeUnit), -real.inv(assumeUnit) * dual * real.inv(assumeUnit));
}
template <typename T>
inline DualQuat<T> DualQuat<T>::operator-(const DualQuat<T> &q) const
{
return DualQuat<T>(w - q.w, x - q.x, y - q.y, z - q.z, w_ - q.w_, x_ - q.x_, y_ - q.y_, z_ - q.z_);
}
template <typename T>
inline DualQuat<T> DualQuat<T>::operator-() const
{
return DualQuat<T>(-w, -x, -y, -z, -w_, -x_, -y_, -z_);
}
template <typename T>
inline DualQuat<T> DualQuat<T>::operator+(const DualQuat<T> &q) const
{
return DualQuat<T>(w + q.w, x + q.x, y + q.y, z + q.z, w_ + q.w_, x_ + q.x_, y_ + q.y_, z_ + q.z_);
}
template <typename T>
inline DualQuat<T>& DualQuat<T>::operator+=(const DualQuat<T> &q)
{
*this = *this + q;
return *this;
}
template <typename T>
inline DualQuat<T> DualQuat<T>::operator*(const DualQuat<T> &q) const
{
Quat<T> A = getRealPart();
Quat<T> B = getDualPart();
Quat<T> C = q.getRealPart();
Quat<T> D = q.getDualPart();
return DualQuat<T>::createFromQuat(A * C, A * D + B * C);
}
template <typename T>
inline DualQuat<T>& DualQuat<T>::operator*=(const DualQuat<T> &q)
{
*this = *this * q;
return *this;
}
template <typename T>
inline DualQuat<T> operator+(const T a, const DualQuat<T> &q)
{
return DualQuat<T>(a + q.w, q.x, q.y, q.z, q.w_, q.x_, q.y_, q.z_);
}
template <typename T>
inline DualQuat<T> operator+(const DualQuat<T> &q, const T a)
{
return DualQuat<T>(a + q.w, q.x, q.y, q.z, q.w_, q.x_, q.y_, q.z_);
}
template <typename T>
inline DualQuat<T> operator-(const DualQuat<T> &q, const T a)
{
return DualQuat<T>(q.w - a, q.x, q.y, q.z, q.w_, q.x_, q.y_, q.z_);
}
template <typename T>
inline DualQuat<T>& DualQuat<T>::operator-=(const DualQuat<T> &q)
{
*this = *this - q;
return *this;
}
template <typename T>
inline DualQuat<T> operator-(const T a, const DualQuat<T> &q)
{
return DualQuat<T>(a - q.w, -q.x, -q.y, -q.z, -q.w_, -q.x_, -q.y_, -q.z_);
}
template <typename T>
inline DualQuat<T> operator*(const T a, const DualQuat<T> &q)
{
return DualQuat<T>(q.w * a, q.x * a, q.y * a, q.z * a, q.w_ * a, q.x_ * a, q.y_ * a, q.z_ * a);
}
template <typename T>
inline DualQuat<T> operator*(const DualQuat<T> &q, const T a)
{
return DualQuat<T>(q.w * a, q.x * a, q.y * a, q.z * a, q.w_ * a, q.x_ * a, q.y_ * a, q.z_ * a);
}
template <typename T>
inline DualQuat<T> DualQuat<T>::operator/(const T a) const
{
return DualQuat<T>(w / a, x / a, y / a, z / a, w_ / a, x_ / a, y_ / a, z_ / a);
}
template <typename T>
inline DualQuat<T> DualQuat<T>::operator/(const DualQuat<T> &q) const
{
return *this * q.inv();
}
template <typename T>
inline DualQuat<T>& DualQuat<T>::operator/=(const DualQuat<T> &q)
{
*this = *this / q;
return *this;
}
template <typename T>
std::ostream & operator<<(std::ostream &os, const DualQuat<T> &q)
{
os << "DualQuat " << Vec<T, 8>{q.w, q.x, q.y, q.z, q.w_, q.x_, q.y_, q.z_};
return os;
}
template <typename T>
inline DualQuat<T> exp(const DualQuat<T> &dq)
{
return dq.exp();
}
namespace detail {
template <typename _Tp>
Matx<_Tp, 4, 4> jacob_exp(const Quat<_Tp> &q)
{
_Tp nv = std::sqrt(q.x * q.x + q.y * q.y + q.z * q.z);
_Tp sinc_nv = abs(nv) < cv::DualQuat<_Tp>::CV_DUAL_QUAT_EPS ? 1 - nv * nv / 6 : std::sin(nv) / nv;
_Tp csiii_nv = abs(nv) < cv::DualQuat<_Tp>::CV_DUAL_QUAT_EPS ? -(_Tp)1.0 / 3 : (std::cos(nv) - sinc_nv) / nv / nv;
Matx<_Tp, 4, 4> J_exp_quat {
std::cos(nv), -sinc_nv * q.x, -sinc_nv * q.y, -sinc_nv * q.z,
sinc_nv * q.x, csiii_nv * q.x * q.x + sinc_nv, csiii_nv * q.x * q.y, csiii_nv * q.x * q.z,
sinc_nv * q.y, csiii_nv * q.y * q.x, csiii_nv * q.y * q.y + sinc_nv, csiii_nv * q.y * q.z,
sinc_nv * q.z, csiii_nv * q.z * q.x, csiii_nv * q.z * q.y, csiii_nv * q.z * q.z + sinc_nv
};
return std::exp(q.w) * J_exp_quat;
}
} // namespace detail
template <typename T>
DualQuat<T> DualQuat<T>::exp() const
{
Quat<T> real = getRealPart();
return createFromQuat(real.exp(), Quat<T>(detail::jacob_exp(real) * getDualPart().toVec()));
}
template <typename T>
DualQuat<T> log(const DualQuat<T> &dq, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
{
return dq.log(assumeUnit);
}
template <typename T>
DualQuat<T> DualQuat<T>::log(QuatAssumeType assumeUnit) const
{
Quat<T> plog = getRealPart().log(assumeUnit);
Matx<T, 4, 4> jacob = detail::jacob_exp(plog);
return createFromQuat(plog, Quat<T>(jacob.inv() * getDualPart().toVec()));
}
template <typename T>
inline DualQuat<T> power(const DualQuat<T> &dq, const T t, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
{
return dq.power(t, assumeUnit);
}
template <typename T>
inline DualQuat<T> DualQuat<T>::power(const T t, QuatAssumeType assumeUnit) const
{
return (t * log(assumeUnit)).exp();
}
template <typename T>
inline DualQuat<T> power(const DualQuat<T> &p, const DualQuat<T> &q, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
{
return p.power(q, assumeUnit);
}
template <typename T>
inline DualQuat<T> DualQuat<T>::power(const DualQuat<T> &q, QuatAssumeType assumeUnit) const
{
return (q * log(assumeUnit)).exp();
}
template <typename T>
inline Vec<T, 8> DualQuat<T>::toVec() const
{
return Vec<T, 8>(w, x, y, z, w_, x_, y_, z_);
}
template <typename T>
Affine3<T> DualQuat<T>::toAffine3(QuatAssumeType assumeUnit) const
{
return Affine3<T>(toMat(assumeUnit));
}
template <typename T>
Matx<T, 4, 4> DualQuat<T>::toMat(QuatAssumeType assumeUnit) const
{
Matx<T, 4, 4> rot44 = getRotation(assumeUnit).toRotMat4x4();
Vec<T, 3> translation = getTranslation(assumeUnit);
rot44(0, 3) = translation[0];
rot44(1, 3) = translation[1];
rot44(2, 3) = translation[2];
return rot44;
}
template <typename T>
DualQuat<T> DualQuat<T>::sclerp(const DualQuat<T> &q0, const DualQuat<T> &q1, const T t, bool directChange, QuatAssumeType assumeUnit)
{
DualQuat<T> v0(q0), v1(q1);
if (!assumeUnit)
{
v0 = v0.normalize();
v1 = v1.normalize();
}
Quat<T> v0Real = v0.getRealPart();
Quat<T> v1Real = v1.getRealPart();
if (directChange && v1Real.dot(v0Real) < 0)
{
v0 = -v0;
}
DualQuat<T> v0inv1 = v0.inv() * v1;
return v0 * v0inv1.power(t, QUAT_ASSUME_UNIT);
}
template <typename T>
DualQuat<T> DualQuat<T>::dqblend(const DualQuat<T> &q1, const DualQuat<T> &q2, const T t, QuatAssumeType assumeUnit)
{
DualQuat<T> v1(q1), v2(q2);
if (!assumeUnit)
{
v1 = v1.normalize();
v2 = v2.normalize();
}
if (v1.getRotation(assumeUnit).dot(v2.getRotation(assumeUnit)) < 0)
{
return ((1 - t) * v1 - t * v2).normalize();
}
return ((1 - t) * v1 + t * v2).normalize();
}
template <typename T>
DualQuat<T> DualQuat<T>::gdqblend(InputArray _dualquat, InputArray _weight, QuatAssumeType assumeUnit)
{
CV_CheckTypeEQ(_weight.type(), cv::traits::Type<T>::value, "");
CV_CheckTypeEQ(_dualquat.type(), CV_MAKETYPE(CV_MAT_DEPTH(cv::traits::Type<T>::value), 8), "");
Size dq_s = _dualquat.size();
if (dq_s != _weight.size() || (dq_s.height != 1 && dq_s.width != 1))
{
CV_Error(Error::StsBadArg, "The size of weight must be the same as dualquat, both of them should be (1, n) or (n, 1)");
}
Mat dualquat = _dualquat.getMat(), weight = _weight.getMat();
const int cn = std::max(dq_s.width, dq_s.height);
if (!assumeUnit)
{
for (int i = 0; i < cn; ++i)
{
dualquat.at<Vec<T, 8>>(i) = DualQuat<T>{dualquat.at<Vec<T, 8>>(i)}.normalize().toVec();
}
}
Vec<T, 8> dq_blend = dualquat.at<Vec<T, 8>>(0) * weight.at<T>(0);
Quat<T> q0 = DualQuat<T> {dualquat.at<Vec<T, 8>>(0)}.getRotation(assumeUnit);
for (int i = 1; i < cn; ++i)
{
T k = q0.dot(DualQuat<T>{dualquat.at<Vec<T, 8>>(i)}.getRotation(assumeUnit)) < 0 ? -1: 1;
dq_blend = dq_blend + dualquat.at<Vec<T, 8>>(i) * k * weight.at<T>(i);
}
return DualQuat<T>{dq_blend}.normalize();
}
template <typename T>
template <int cn>
DualQuat<T> DualQuat<T>::gdqblend(const Vec<DualQuat<T>, cn> &_dualquat, InputArray _weight, QuatAssumeType assumeUnit)
{
Vec<DualQuat<T>, cn> dualquat(_dualquat);
if (cn == 0)
{
return DualQuat<T>(1, 0, 0, 0, 0, 0, 0, 0);
}
Mat dualquat_mat(cn, 1, CV_64FC(8));
for (int i = 0; i < cn ; ++i)
{
dualquat_mat.at<Vec<T, 8>>(i) = dualquat[i].toVec();
}
return gdqblend(dualquat_mat, _weight, assumeUnit);
}
} //namespace cv
#endif /*OPENCV_CORE_DUALQUATERNION_INL_HPP*/

2
modules/core/include/opencv2/core/quaternion.inl.hpp
View File

@ -880,7 +880,7 @@ Quat<T> createFromAxisRot(int axis, const T theta)
CV_Assert(0);
}
static bool isIntAngleType(QuatEnum::EulerAnglesType eulerAnglesType)
inline bool isIntAngleType(QuatEnum::EulerAnglesType eulerAnglesType)
{
return eulerAnglesType < QuatEnum::EXT_XYZ;
}

189
modules/core/test/test_quaternion.cpp
View File

@ -3,11 +3,15 @@
// of this distribution and at http://opencv.org/license.html.
#include "test_precomp.hpp"
#include <opencv2/ts/cuda_test.hpp> // EXPECT_MAT_NEAR
#include <opencv2/core/quaternion.hpp>
#include <opencv2/ts/cuda_test.hpp>
using namespace cv;
#include <opencv2/core/dualquaternion.hpp>
namespace opencv_test{ namespace {
class QuatTest: public ::testing::Test {
class QuatTest: public ::testing::Test
{
protected:
void SetUp() override
{
@ -37,7 +41,8 @@ protected:
};
TEST_F(QuatTest, constructor){
TEST_F(QuatTest, constructor)
{
Vec<double, 4> coeff{1, 2, 3, 4};
EXPECT_EQ(Quat<double> (coeff), q1);
EXPECT_EQ(q3, q3UnitAxis);
@ -78,7 +83,8 @@ TEST_F(QuatTest, constructor){
EXPECT_EQ(Quatd::createFromRvec(Vec3d(0, 0, 0)), qIdentity);
}
TEST_F(QuatTest, basicfuns){
TEST_F(QuatTest, basicfuns)
{
Quat<double> q1Conj{1, -2, -3, -4};
EXPECT_EQ(q3Norm2.normalize(), q3);
EXPECT_EQ(q1.norm(), sqrt(30));
@ -160,7 +166,8 @@ TEST_F(QuatTest, basicfuns){
EXPECT_EQ(tan(atan(q1)), q1);
}
TEST_F(QuatTest, operator){
TEST_F(QuatTest, test_operator)
{
Quatd minusQ{-1, -2, -3, -4};
Quatd qAdd{3.5, 0, 6.5, 8};
Quatd qMinus{-1.5, 4, -0.5, 0};
@ -203,7 +210,8 @@ TEST_F(QuatTest, operator){
EXPECT_ANY_THROW(q1.at(4));
}
TEST_F(QuatTest, quatAttrs){
TEST_F(QuatTest, quatAttrs)
{
double angleQ1 = 2 * acos(1.0 / sqrt(30));
Vec3d axis1{0.3713906763541037, 0.557086014, 0.742781352};
Vec<double, 3> q1axis1 = q1.getAxis();
@ -223,7 +231,8 @@ TEST_F(QuatTest, quatAttrs){
EXPECT_NEAR(axis1[2], axis1[2], 1e-6);
}
TEST_F(QuatTest, interpolation){
TEST_F(QuatTest, interpolation)
{
Quatd qNoRot = Quatd::createFromAngleAxis(0, axis);
Quatd qLerpInter(1.0 / 2, sqrt(3) / 6, sqrt(3) / 6, sqrt(3) / 6);
EXPECT_EQ(Quatd::lerp(qNoRot, q3, 0), qNoRot);
@ -286,7 +295,8 @@ static const Quatd qEuler[24] = {
Quatd(0.653285, -0.0990435, 0.369641, 0.65328) //EXT_ZYZ
};
TEST_F(QuatTest, EulerAngles){
TEST_F(QuatTest, EulerAngles)
{
Vec3d test_angle = {0.523598, 0.78539, 1.04719};
for (QuatEnum::EulerAnglesType i = QuatEnum::EulerAnglesType::INT_XYZ; i <= QuatEnum::EulerAnglesType::EXT_ZYZ; i = (QuatEnum::EulerAnglesType)(i + 1))
{
@ -320,6 +330,163 @@ TEST_F(QuatTest, EulerAngles){
EXPECT_EQ(Quatd::createFromEulerAngles(test_angle6, QuatEnum::INT_ZXY), Quatd::createFromEulerAngles(test_angle7, QuatEnum::INT_ZXY));
}
} // namespace
}// opencv_test
class DualQuatTest: public ::testing::Test
{
protected:
double scalar = 2.5;
double angle = CV_PI;
Vec<double, 3> axis{1, 1, 1};
Vec<double, 3> unAxis{0, 0, 0};
Vec<double, 3> unitAxis{1.0 / sqrt(3), 1.0 / sqrt(3), 1.0 / sqrt(3)};
DualQuatd dq1{1, 2, 3, 4, 5, 6, 7, 8};
Vec3d trans{0, 0, 5};
double rotation_angle = 2.0 / 3 * CV_PI;
DualQuatd dq2 = DualQuatd::createFromAngleAxisTrans(rotation_angle, axis, trans);
DualQuatd dqAllOne{1, 1, 1, 1, 1, 1, 1, 1};
DualQuatd dqAllZero{0, 0, 0, 0, 0, 0, 0, 0};
DualQuatd dqIdentity{1, 0, 0, 0, 0, 0, 0, 0};
DualQuatd dqTrans{1, 0, 0, 0, 0, 2, 3, 4};
DualQuatd dqOnlyTrans{0, 0, 0, 0, 0, 2, 3, 4};
DualQuatd dualNumber1{-3,0,0,0,-31.1,0,0,0};
DualQuatd dualNumber2{4,0,0,0,5.1,0,0,0};
};
TEST_F(DualQuatTest, constructor)
{
EXPECT_EQ(dq1, DualQuatd::createFromQuat(Quatd(1, 2, 3, 4), Quatd(5, 6, 7, 8)));
EXPECT_EQ(dq2 * dq2.conjugate(), dqIdentity);
EXPECT_NEAR(dq2.getRotation(QUAT_ASSUME_UNIT).norm(), 1, 1e-6);
EXPECT_NEAR(dq2.getRealPart().dot(dq2.getDualPart()), 0, 1e-6);
EXPECT_MAT_NEAR(dq2.getTranslation(QUAT_ASSUME_UNIT), trans, 1e-6);
DualQuatd q_conj = DualQuatd::createFromQuat(dq2.getRealPart().conjugate(), -dq2.getDualPart().conjugate());
DualQuatd q{1,0,0,0,0,3,0,0};
EXPECT_EQ(dq2 * q * q_conj, DualQuatd(1,0,0,0,0,0,3,5));
Matx44d R1 = dq2.toMat();
DualQuatd dq3 = DualQuatd::createFromMat(R1);
EXPECT_EQ(dq3, dq2);
axis = axis / std::sqrt(axis.dot(axis));
Vec3d moment = 1.0 / 2 * (trans.cross(axis) + axis.cross(trans.cross(axis)) *
std::cos(rotation_angle / 2) / std::sin(rotation_angle / 2));
double d = trans.dot(axis);
DualQuatd dq4 = DualQuatd::createFromPitch(rotation_angle, d, axis, moment);
EXPECT_EQ(dq4, dq3);
EXPECT_EQ(dq2, DualQuatd::createFromAffine3(dq2.toAffine3()));
EXPECT_EQ(dq1.normalize(), DualQuatd::createFromAffine3(dq1.toAffine3()));
}
TEST_F(DualQuatTest, test_operator)
{
DualQuatd dq_origin{1, 2, 3, 4, 5, 6, 7, 8};
EXPECT_EQ(dq1 - dqAllOne, DualQuatd(0, 1, 2, 3, 4, 5, 6, 7));
EXPECT_EQ(-dq1, DualQuatd(-1, -2, -3, -4, -5, -6, -7, -8));
EXPECT_EQ(dq1 + dqAllOne, DualQuatd(2, 3, 4, 5, 6, 7, 8, 9));
EXPECT_EQ(dq1 / dq1, dqIdentity);
DualQuatd dq3{-4, 1, 3, 2, -15.5, 0, -3, 8.5};
EXPECT_EQ(dq1 * dq2, dq3);
EXPECT_EQ(dq3 / dq2, dq1);
DualQuatd dq12{2, 4, 6, 8, 10, 12, 14, 16};
EXPECT_EQ(dq1 * 2.0, dq12);
EXPECT_EQ(2.0 * dq1, dq12);
EXPECT_EQ(dq1 - 1.0, DualQuatd(0, 2, 3, 4, 5, 6, 7, 8));
EXPECT_EQ(1.0 - dq1, DualQuatd(0, -2, -3, -4, -5, -6, -7, -8));
EXPECT_EQ(dq1 + 1.0, DualQuatd(2, 2, 3, 4, 5, 6, 7, 8));
EXPECT_EQ(1.0 + dq1, DualQuatd(2, 2, 3, 4, 5, 6, 7, 8));
dq1 += dq2;
EXPECT_EQ(dq1, dq_origin + dq2);
dq1 -= dq2;
EXPECT_EQ(dq1, dq_origin);
dq1 *= dq2;
EXPECT_EQ(dq1, dq_origin * dq2);
dq1 /= dq2;
EXPECT_EQ(dq1, dq_origin);
}
TEST_F(DualQuatTest, basic_ops)
{
EXPECT_EQ(dq1.getRealPart(), Quatd(1, 2, 3, 4));
EXPECT_EQ(dq1.getDualPart(), Quatd(5, 6, 7, 8));
EXPECT_EQ((dq1 * dq2).conjugate(), conjugate(dq1 * dq2));
EXPECT_EQ(dq1.conjugate(), DualQuatd::createFromQuat(dq1.getRealPart().conjugate(), dq1.getDualPart().conjugate()));
EXPECT_EQ((dq2 * dq1).conjugate(), dq1.conjugate() * dq2.conjugate());
EXPECT_EQ(dq1.conjugate() * dq1, dq1.norm() * dq1.norm());
EXPECT_EQ(dq1.conjugate() * dq1, dq1.norm().power(2.0));
EXPECT_EQ(dualNumber2.power(2.0), DualQuatd(16, 0, 0, 0, 40.8, 0, 0, 0));
EXPECT_EQ(dq1.power(2.0), (2.0 * dq1.log()).exp());
EXPECT_EQ(power(dq1, 2.0), (exp(2.0 * log(dq1))));
EXPECT_EQ(dq2.power(3.0 / 2, QUAT_ASSUME_UNIT).power(4.0 / 3, QUAT_ASSUME_UNIT), dq2 * dq2);
EXPECT_EQ(dq2.power(-0.5).power(2.0), dq2.inv());
EXPECT_EQ(power(dq1, dq2), exp(dq2 * log(dq1)));
EXPECT_EQ(power(dq2, dq1, QUAT_ASSUME_UNIT), exp(dq1 * log(dq2)));
EXPECT_EQ((dq2.norm() * dq1).power(2.0), dq1.power(2.0) * dq2.norm().power(2.0));
DualQuatd q1norm = dq1.normalize();
EXPECT_EQ(dq2.norm(), dqIdentity);
EXPECT_NEAR(q1norm.getRealPart().norm(), 1, 1e-6);
EXPECT_NEAR(q1norm.getRealPart().dot(q1norm.getDualPart()), 0, 1e-6);
EXPECT_NEAR(dq1.getRotation().norm(), 1, 1e-6);
EXPECT_NEAR(dq2.getRotation(QUAT_ASSUME_UNIT).norm(), 1, 1e-6);
EXPECT_NEAR(dq2.getRotation(QUAT_ASSUME_UNIT).norm(), 1, 1e-6);
EXPECT_MAT_NEAR(Mat(dq2.getTranslation()), Mat(trans), 1e-6);
EXPECT_MAT_NEAR(Mat(q1norm.getTranslation(QUAT_ASSUME_UNIT)), Mat(dq1.getTranslation()), 1e-6);
EXPECT_EQ(dq2.getTranslation(), dq2.getTranslation(QUAT_ASSUME_UNIT));
EXPECT_EQ(dq1.inv() * dq1, dqIdentity);
EXPECT_EQ(inv(dq1) * dq1, dqIdentity);
EXPECT_EQ(dq2.inv(QUAT_ASSUME_UNIT) * dq2, dqIdentity);
EXPECT_EQ(inv(dq2, QUAT_ASSUME_UNIT) * dq2, dqIdentity);
EXPECT_EQ(dq2.inv(), dq2.conjugate());
EXPECT_EQ(dqIdentity.inv(), dqIdentity);
EXPECT_ANY_THROW(dqAllZero.inv());
EXPECT_EQ(dqAllZero.exp(), dqIdentity);
EXPECT_EQ(exp(dqAllZero), dqIdentity);
EXPECT_ANY_THROW(log(dqAllZero));
EXPECT_EQ(log(dqIdentity), dqAllZero);
EXPECT_EQ(dqIdentity.log(), dqAllZero);
EXPECT_EQ(dualNumber1 * dualNumber2, dualNumber2 * dualNumber1);
EXPECT_EQ(dualNumber2.exp().log(), dualNumber2);
EXPECT_EQ(dq2.log(QUAT_ASSUME_UNIT).exp(), dq2);
EXPECT_EQ(exp(log(dq2, QUAT_ASSUME_UNIT)), dq2);
EXPECT_EQ(dqIdentity.log(QUAT_ASSUME_UNIT).exp(), dqIdentity);
EXPECT_EQ(dq1.log().exp(), dq1);
EXPECT_EQ(dqTrans.log().exp(), dqTrans);
EXPECT_MAT_NEAR(q1norm.toMat(QUAT_ASSUME_UNIT), dq1.toMat(), 1e-6);
Matx44d R1 = dq2.toMat();
Mat point = (Mat_<double>(4, 1) << 3, 0, 0, 1);
Mat new_point = R1 * point;
Mat after = (Mat_<double>(4, 1) << 0, 3, 5 ,1);
EXPECT_MAT_NEAR(new_point, after, 1e-6);
Vec<double, 8> vec = dq1.toVec();
EXPECT_EQ(DualQuatd(vec), dq1);
Affine3d afd = q1norm.toAffine3(QUAT_ASSUME_UNIT);
EXPECT_MAT_NEAR(Mat(afd.translation()), Mat(q1norm.getTranslation(QUAT_ASSUME_UNIT)), 1e-6);
Affine3d dq1_afd = dq1.toAffine3();
EXPECT_MAT_NEAR(dq1_afd.matrix, afd.matrix, 1e-6);
EXPECT_ANY_THROW(dqAllZero.toAffine3());
}
TEST_F(DualQuatTest, interpolation)
{
DualQuatd dq = DualQuatd::createFromAngleAxisTrans(8 * CV_PI / 5, Vec3d{0, 0, 1}, Vec3d{0, 0, 10});
EXPECT_EQ(DualQuatd::sclerp(dqIdentity, dq, 0.5), DualQuatd::sclerp(-dqIdentity, dq, 0.5, false));
EXPECT_EQ(DualQuatd::sclerp(dqIdentity, dq, 0), -dqIdentity);
EXPECT_EQ(DualQuatd::sclerp(dqIdentity, dq2, 1), dq2);
EXPECT_EQ(DualQuatd::sclerp(dqIdentity, dq2, 0.4, false, QUAT_ASSUME_UNIT), DualQuatd(0.91354546, 0.23482951, 0.23482951, 0.23482951, -0.23482951, -0.47824988, 0.69589767, 0.69589767));
EXPECT_EQ(DualQuatd::dqblend(dqIdentity, dq1.normalize(), 0.2, QUAT_ASSUME_UNIT), DualQuatd::dqblend(dqIdentity, -dq1, 0.2));
EXPECT_EQ(DualQuatd::dqblend(dqIdentity, dq2, 0.4), DualQuatd(0.91766294, 0.22941573, 0.22941573, 0.22941573, -0.21130397, -0.48298049, 0.66409818, 0.66409818));
DualQuatd gdb = DualQuatd::gdqblend(Vec<DualQuatd, 3>{dqIdentity, dq, dq2}, Vec3d{0.4, 0, 0.6}, QUAT_ASSUME_UNIT);
EXPECT_EQ(gdb, DualQuatd::dqblend(dqIdentity, dq2, 0.6));
EXPECT_ANY_THROW(DualQuatd::gdqblend(Vec<DualQuatd, 1>{dq2}, Vec2d{0.5, 0.5}));
Mat gdqb_d(1, 2, CV_64FC(7));
gdqb_d.at<Vec<double, 7>>(0, 0) = Vec<double, 7>{1,2,3,4,5,6,7};
gdqb_d.at<Vec<double, 7>>(0, 1) = Vec<double, 7>{1,2,3,4,5,6,7};
EXPECT_ANY_THROW(DualQuatd::gdqblend(gdqb_d, Vec2d{0.5, 0.5}));
Mat gdqb_f(1, 2, CV_32FC(8));
gdqb_f.at<Vec<float, 8>>(0, 0) = Vec<float, 8>{1.f,2.f,3.f,4.f,5.f,6.f,7.f,8.f};
gdqb_f.at<Vec<float, 8>>(0, 1) = Vec<float, 8>{1.f,2.f,3.f,4.f,5.f,6.f,7.f,8.f};
EXPECT_ANY_THROW(DualQuatd::gdqblend(gdqb_f, Vec2d{0.5, 0.5}));
EXPECT_ANY_THROW(DualQuatd::gdqblend(Vec<DualQuatd, 3>{dqIdentity, dq, dq2}, Vec3f{0.4f, 0.f, 0.6f}, QUAT_ASSUME_UNIT));
EXPECT_EQ(gdb, DualQuatd::gdqblend(Vec<DualQuatd, 3>{dqIdentity, dq * dualNumber1, -dq2}, Vec3d{0.4, 0, 0.6}));
}
}} // namespace