/external/opencv3/samples/cpp/tutorial_code/features2D/AKAZE_tracking/ |
H A D | stats.h | 7 int inliers; member in struct:Stats 12 inliers(0), 19 inliers += op.inliers; 27 inliers /= num;
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/external/opencv3/modules/cudalegacy/test/ |
H A D | test_calib3d.cpp | 181 std::vector<int> inliers; local 184 rvec, tvec, false, 200, 2.f, 100, &inliers);
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/external/opencv3/modules/videostab/src/ |
H A D | outlier_rejection.cpp | 105 std::vector<int> inliers; local 149 // get the best hypothesis inliers 152 inliers.resize(ninliersMax); 160 inliers[ninliers++] = cell[i]; 167 for (size_t i = 0; i < inliers.size(); ++i) 169 dxBest += points1_[inliers[i]].x - points0_[inliers[i]].x; 170 dyBest += points1_[inliers[i]].y - points0_[inliers[i]].y; 172 if (!inliers [all...] |
/external/opencv3/modules/calib3d/test/ |
H A D | test_solvepnp_ransac.cpp | 118 vector<int> inliers; local 141 false, 500, 0.5f, 0.99, inliers, method); 143 bool isTestSuccess = inliers.size() >= points.size()*0.95; 148 //cout << error << " " << inliers.size() << " " << eps[method] << endl; 333 vector<int> inliers; local 335 solvePnPRansac(points3dF, points2dF, intrinsics, cv::Mat(), RF, tF, true, 100, 8.f, 0.999, inliers, cv::SOLVEPNP_P3P); 336 solvePnPRansac(points3d, points2d, intrinsics, cv::Mat(), R, t, true, 100, 8.f, 0.999, inliers, cv::SOLVEPNP_P3P);
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/external/opencv3/samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/ |
H A D | PnPProblem.cpp | 137 int flags, cv::Mat &inliers, int iterationsCount, // PnP method; inliers container 149 inliers, flags ); 135 estimatePoseRANSAC( const std::vector<cv::Point3f> &list_points3d, const std::vector<cv::Point2f> &list_points2d, int flags, cv::Mat &inliers, int iterationsCount, float reprojectionError, double confidence ) argument
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/external/opencv3/modules/java/src/ |
H A D | calib3d+Calib3d.java | 424 // C++: bool solvePnPRansac(vector_Point3f objectPoints, vector_Point2f imagePoints, Mat cameraMatrix, vector_double distCoeffs, Mat& rvec, Mat& tvec, bool useExtrinsicGuess = false, int iterationsCount = 100, float reprojectionError = 8.0, double confidence = 0.99, Mat& inliers = Mat(), int flags = SOLVEPNP_ITERATIVE) 427 //javadoc: solvePnPRansac(objectPoints, imagePoints, cameraMatrix, distCoeffs, rvec, tvec, useExtrinsicGuess, iterationsCount, reprojectionError, confidence, inliers, flags) 428 public static boolean solvePnPRansac(MatOfPoint3f objectPoints, MatOfPoint2f imagePoints, Mat cameraMatrix, MatOfDouble distCoeffs, Mat rvec, Mat tvec, boolean useExtrinsicGuess, int iterationsCount, float reprojectionError, double confidence, Mat inliers, int flags) argument 433 boolean retVal = solvePnPRansac_0(objectPoints_mat.nativeObj, imagePoints_mat.nativeObj, cameraMatrix.nativeObj, distCoeffs_mat.nativeObj, rvec.nativeObj, tvec.nativeObj, useExtrinsicGuess, iterationsCount, reprojectionError, confidence, inliers.nativeObj, flags); 1095 // C++: int estimateAffine3D(Mat src, Mat dst, Mat& out, Mat& inliers, double ransacThreshold = 3, double confidence = 0.99) 1098 //javadoc: estimateAffine3D(src, dst, out, inliers, ransacThreshold, confidence) 1099 public static int estimateAffine3D(Mat src, Mat dst, Mat out, Mat inliers, double ransacThreshold, double confidence) argument 1102 int retVal = estimateAffine3D_0(src.nativeObj, dst.nativeObj, out.nativeObj, inliers.nativeObj, ransacThreshold, confidence); 1107 //javadoc: estimateAffine3D(src, dst, out, inliers) 1108 public static int estimateAffine3D(Mat src, Mat dst, Mat out, Mat inliers) argument [all...] |
H A D | calib3d.cpp | 2048 // bool solvePnPRansac(vector_Point3f objectPoints, vector_Point2f imagePoints, Mat cameraMatrix, vector_double distCoeffs, Mat& rvec, Mat& tvec, bool useExtrinsicGuess = false, int iterationsCount = 100, float reprojectionError = 8.0, double confidence = 0.99, Mat& inliers = Mat(), int flags = SOLVEPNP_ITERATIVE) 2071 Mat& inliers = *((Mat*)inliers_nativeObj); local 2072 bool _retval_ = cv::solvePnPRansac( objectPoints, imagePoints, cameraMatrix, distCoeffs, rvec, tvec, (bool)useExtrinsicGuess, (int)iterationsCount, (float)reprojectionError, (double)confidence, inliers, (int)flags ); 3584 // int estimateAffine3D(Mat src, Mat dst, Mat& out, Mat& inliers, double ransacThreshold = 3, double confidence = 0.99) 3598 Mat& inliers = *((Mat*)inliers_nativeObj); local 3599 int _retval_ = cv::estimateAffine3D( src, dst, out, inliers, (double)ransacThreshold, (double)confidence ); 3622 Mat& inliers = *((Mat*)inliers_nativeObj); local 3623 int _retval_ = cv::estimateAffine3D( src, dst, out, inliers );
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