Lines Matching full:cameras
129 - A calibration sample for 3 cameras in horizontal position can be found at
848 @param T Output translation vector between the coordinate systems of the cameras.
879 The function estimates transformation between two cameras making a stereo pair. If you have a stereo
880 camera where the relative position and orientation of two cameras is fixed, and if you computed
900 two cameras. However, due to the high dimensionality of the parameter space and noise in the input
902 estimated with high accuracy for each of the cameras individually (for example, using
910 points in all the available views from both cameras. The function returns the final value of the
929 @param R Rotation matrix between the coordinate systems of the first and the second cameras.
930 @param T Translation vector between coordinate systems of the cameras.
947 pixels from the original images from the cameras are retained in the rectified images (no source
969 corresponding epipolar lines in the left and right cameras are horizontal and have the same
976 where \f$T_x\f$ is a horizontal shift between the cameras and \f$cx_1=cx_2\f$ if
987 where \f$T_y\f$ is a vertical shift between the cameras and \f$cy_1=cy_2\f$ if CALIB_ZERO_DISPARITY is
1026 cameras and their relative position in the space, which explains the suffix "uncalibrated". Another
1032 While the algorithm does not need to know the intrinsic parameters of the cameras, it heavily
1186 are feature points from cameras with same focal length and principle point.
1212 decomposeEssentialMat or recoverPose to recover the relative pose between cameras.
1243 are feature points from cameras with same focal length and principle point.
1801 cameras.
1802 @param tvec Translation vector between coordinate systems of the cameras.
1844 @param T Output translation vector between the coordinate systems of the cameras.
