Module opencv::ccalib [−][src]
Expand description
Modules
Structs
Class for multiple camera calibration that supports pinhole camera and omnidirection camera. For omnidirectional camera model, please refer to omnidir.hpp in ccalib module. It first calibrate each camera individually, then a bundle adjustment like optimization is applied to refine extrinsic parameters. So far, it only support “random” pattern for calibration, see randomPattern.hpp in ccalib module for details. Images that are used should be named by “cameraIdx-timestamp.*”, several images with the same timestamp means that they are the same pattern that are photographed. cameraIdx should start from 0.
Class for finding features points and corresponding 3D in world coordinate of a “random” pattern, which can be to be used in calibration. It is useful when pattern is partly occluded or only a part of pattern can be observed in multiple cameras calibration. The pattern can be generated by RandomPatternGenerator class described in this file.
Constants
Traits
Class for multiple camera calibration that supports pinhole camera and omnidirection camera. For omnidirectional camera model, please refer to omnidir.hpp in ccalib module. It first calibrate each camera individually, then a bundle adjustment like optimization is applied to refine extrinsic parameters. So far, it only support “random” pattern for calibration, see randomPattern.hpp in ccalib module for details. Images that are used should be named by “cameraIdx-timestamp.*”, several images with the same timestamp means that they are the same pattern that are photographed. cameraIdx should start from 0.
Class for finding features points and corresponding 3D in world coordinate of a “random” pattern, which can be to be used in calibration. It is useful when pattern is partly occluded or only a part of pattern can be observed in multiple cameras calibration. The pattern can be generated by RandomPatternGenerator class described in this file.
Functions
Perform omnidirectional camera calibration, the default depth of outputs is CV_64F.
Computes undistortion and rectification maps for omnidirectional camera image transform by a rotation R. It output two maps that are used for cv::remap(). If D is empty then zero distortion is used, if R or P is empty then identity matrices are used.
Projects points for omnidirectional camera using CMei’s model
Projects points for omnidirectional camera using CMei’s model
Stereo calibration for omnidirectional camera model. It computes the intrinsic parameters for two cameras and the extrinsic parameters between two cameras. The default depth of outputs is CV_64F.
Stereo 3D reconstruction from a pair of images
Stereo rectification for omnidirectional camera model. It computes the rectification rotations for two cameras
Undistort omnidirectional images to perspective images
Undistort 2D image points for omnidirectional camera using CMei’s model