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Merge pull request #10339 from catree:add_doc_solvepnp_figure_desc
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@ -567,7 +567,97 @@ focal length.
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function requires exactly four object and image points.
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The function estimates the object pose given a set of object points, their corresponding image
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projections, as well as the camera matrix and the distortion coefficients.
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projections, as well as the camera matrix and the distortion coefficients, see the figure below
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(more precisely, the X-axis of the camera frame is pointing to the right, the Y-axis downward
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and the Z-axis forward).
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![](pnp.jpg)
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Points expressed in the world frame \f$ \bf{X}_w \f$ are projected into the image plane \f$ \left[ u, v \right] \f$
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using the perspective projection model \f$ \Pi \f$ and the camera intrinsic parameters matrix \f$ \bf{A} \f$:
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\f[
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\begin{align*}
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\begin{bmatrix}
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u \\
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v \\
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1
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\end{bmatrix} &=
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\bf{A} \hspace{0.1em} \Pi \hspace{0.2em} ^{c}\bf{M}_w
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\begin{bmatrix}
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X_{w} \\
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Y_{w} \\
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Z_{w} \\
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1
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\end{bmatrix} \\
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\begin{bmatrix}
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u \\
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v \\
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1
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\end{bmatrix} &=
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\begin{bmatrix}
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f_x & 0 & c_x \\
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0 & f_y & c_y \\
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0 & 0 & 1
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\end{bmatrix}
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\begin{bmatrix}
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1 & 0 & 0 & 0 \\
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0 & 1 & 0 & 0 \\
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0 & 0 & 1 & 0
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\end{bmatrix}
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\begin{bmatrix}
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r_{11} & r_{12} & r_{13} & t_x \\
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r_{21} & r_{22} & r_{23} & t_y \\
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r_{31} & r_{32} & r_{33} & t_z \\
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0 & 0 & 0 & 1
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\end{bmatrix}
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\begin{bmatrix}
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X_{w} \\
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Y_{w} \\
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Z_{w} \\
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1
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\end{bmatrix}
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\end{align*}
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\f]
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The estimated pose is thus the rotation (`rvec`) and the translation (`tvec`) vectors that allow to transform
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a 3D point expressed in the world frame into the camera frame:
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\f[
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\begin{align*}
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\begin{bmatrix}
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X_c \\
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Y_c \\
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Z_c \\
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1
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\end{bmatrix} &=
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\hspace{0.2em} ^{c}\bf{M}_w
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\begin{bmatrix}
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X_{w} \\
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Y_{w} \\
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Z_{w} \\
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1
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\end{bmatrix} \\
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\begin{bmatrix}
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X_c \\
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Y_c \\
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Z_c \\
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1
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\end{bmatrix} &=
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\begin{bmatrix}
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r_{11} & r_{12} & r_{13} & t_x \\
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r_{21} & r_{22} & r_{23} & t_y \\
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r_{31} & r_{32} & r_{33} & t_z \\
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0 & 0 & 0 & 1
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\end{bmatrix}
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\begin{bmatrix}
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X_{w} \\
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Y_{w} \\
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Z_{w} \\
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1
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\end{bmatrix}
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\end{align*}
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\f]
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@note
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- An example of how to use solvePnP for planar augmented reality can be found at
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