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Merge pull request #2948 from PhilLab:patch-1
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@ -137,11 +137,13 @@ namespace cv
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CameraParameters camera;
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};
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template <typename OpointType, typename IpointType>
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static void pnpTask(const vector<char>& pointsMask, const Mat& objectPoints, const Mat& imagePoints,
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const Parameters& params, vector<int>& inliers, Mat& rvec, Mat& tvec,
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const Mat& rvecInit, const Mat& tvecInit, Mutex& resultsMutex)
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{
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Mat modelObjectPoints(1, MIN_POINTS_COUNT, CV_32FC3), modelImagePoints(1, MIN_POINTS_COUNT, CV_32FC2);
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Mat modelObjectPoints(1, MIN_POINTS_COUNT, CV_MAKETYPE(DataDepth<OpointType>::value, 3));
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Mat modelImagePoints(1, MIN_POINTS_COUNT, CV_MAKETYPE(DataDepth<IpointType>::value, 2));
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for (int i = 0, colIndex = 0; i < (int)pointsMask.size(); i++)
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{
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if (pointsMask[i])
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@ -160,7 +162,7 @@ namespace cv
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for (int i = 0; i < MIN_POINTS_COUNT; i++)
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for (int j = i + 1; j < MIN_POINTS_COUNT; j++)
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{
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if (norm(modelObjectPoints.at<Vec3f>(0, i) - modelObjectPoints.at<Vec3f>(0, j)) < eps)
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if (norm(modelObjectPoints.at<Vec<OpointType,3> >(0, i) - modelObjectPoints.at<Vec<OpointType,3> >(0, j)) < eps)
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num_same_points++;
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}
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if (num_same_points > 0)
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@ -174,7 +176,7 @@ namespace cv
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params.useExtrinsicGuess, params.flags);
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vector<Point2f> projected_points;
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vector<Point_<OpointType> > projected_points;
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projected_points.resize(objectPoints.cols);
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projectPoints(objectPoints, localRvec, localTvec, params.camera.intrinsics, params.camera.distortion, projected_points);
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@ -184,9 +186,11 @@ namespace cv
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vector<int> localInliers;
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for (int i = 0; i < objectPoints.cols; i++)
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{
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Point2f p(imagePoints.at<Vec2f>(0, i)[0], imagePoints.at<Vec2f>(0, i)[1]);
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//Although p is a 2D point it needs the same type as the object points to enable the norm calculation
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Point_<OpointType> p((OpointType)imagePoints.at<Vec<IpointType,2> >(0, i)[0],
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(OpointType)imagePoints.at<Vec<IpointType,2> >(0, i)[1]);
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if ((norm(p - projected_points[i]) < params.reprojectionError)
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&& (rotatedPoints.at<Vec3f>(0, i)[2] > 0)) //hack
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&& (rotatedPoints.at<Vec<OpointType,3> >(0, i)[2] > 0)) //hack
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{
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localInliers.push_back(i);
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}
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@ -206,6 +210,30 @@ namespace cv
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}
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}
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static void pnpTask(const vector<char>& pointsMask, const Mat& objectPoints, const Mat& imagePoints,
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const Parameters& params, vector<int>& inliers, Mat& rvec, Mat& tvec,
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const Mat& rvecInit, const Mat& tvecInit, Mutex& resultsMutex)
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{
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CV_Assert(objectPoints.depth() == CV_64F || objectPoints.depth() == CV_32F);
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CV_Assert(imagePoints.depth() == CV_64F || imagePoints.depth() == CV_32F);
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const bool objectDoublePrecision = objectPoints.depth() == CV_64F;
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const bool imageDoublePrecision = imagePoints.depth() == CV_64F;
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if(objectDoublePrecision)
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{
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if(imageDoublePrecision)
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pnpTask<double, double>(pointsMask, objectPoints, imagePoints, params, inliers, rvec, tvec, rvecInit, tvecInit, resultsMutex);
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else
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pnpTask<double, float>(pointsMask, objectPoints, imagePoints, params, inliers, rvec, tvec, rvecInit, tvecInit, resultsMutex);
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}
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else
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{
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if(imageDoublePrecision)
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pnpTask<float, double>(pointsMask, objectPoints, imagePoints, params, inliers, rvec, tvec, rvecInit, tvecInit, resultsMutex);
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else
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pnpTask<float, float>(pointsMask, objectPoints, imagePoints, params, inliers, rvec, tvec, rvecInit, tvecInit, resultsMutex);
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}
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}
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class PnPSolver
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{
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public:
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@ -281,10 +309,10 @@ void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
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Mat cameraMatrix = _cameraMatrix.getMat(), distCoeffs = _distCoeffs.getMat();
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CV_Assert(opoints.isContinuous());
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CV_Assert(opoints.depth() == CV_32F);
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CV_Assert(opoints.depth() == CV_32F || opoints.depth() == CV_64F);
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CV_Assert((opoints.rows == 1 && opoints.channels() == 3) || opoints.cols*opoints.channels() == 3);
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CV_Assert(ipoints.isContinuous());
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CV_Assert(ipoints.depth() == CV_32F);
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CV_Assert(ipoints.depth() == CV_32F || ipoints.depth() == CV_64F);
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CV_Assert((ipoints.rows == 1 && ipoints.channels() == 2) || ipoints.cols*ipoints.channels() == 2);
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_rvec.create(3, 1, CV_64FC1);
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@ -320,7 +348,7 @@ void cv::solvePnPRansac(InputArray _opoints, InputArray _ipoints,
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if (flags != CV_P3P)
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{
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int i, pointsCount = (int)localInliers.size();
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Mat inlierObjectPoints(1, pointsCount, CV_32FC3), inlierImagePoints(1, pointsCount, CV_32FC2);
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Mat inlierObjectPoints(1, pointsCount, CV_MAKE_TYPE(opoints.depth(), 3)), inlierImagePoints(1, pointsCount, CV_MAKE_TYPE(ipoints.depth(), 2));
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for (i = 0; i < pointsCount; i++)
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{
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int index = localInliers[i];
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