Camera Calibration And 3D Reconstruction

Creates simple array with object points.

Finds the camera intrinsic and extrinsic parameters from pairs of corresponding image and object points arrays.

Computes Robot-World and Hand-Eye calibration matrices.

Check chessboard corners.

Converts points from Euclidean to homogeneous space.

Computes epilines in one view for a set of points in the other view.

Decompose a homography matrix to rotation(s), translation(s) and plane normal(s).

Renders the detected chessboard corners.

Computes an optimal affine transformation between two 2D point sets.

Computes an optimal limited affine transformation with 4 degrees of freedom between two 2D point sets.

Finds the positions of the internal corners of the chessboard.

Calculates an essential matrix from the corresponding points in two images.

Finds the camera intrinsic and extrinsic parameters from pairs of corresponding image and object points arrays.

Finds the initial camera matrix from the 3D-2D point correspondences.

Projects 3D points to an image plane.

Converts a Rotation Matrix to a Rvec vector.

Finds an object pose from 3D-2D point correspondences. This function returns the rotation and the translation vectors that transform a 3D point expressed in the object coordinate frame to the camera coordinate frame.

Refine a pose (the translation and the rotation that transform a 3D point expressed in the object coordinate frame to the camera coordinate frame) from a 3D-2D point correspondences and starting from an initial solution.

Computes stereo correspondence using the block matching algorithm.

Computes rectification transforms for each head of a calibrated stereo camera.

This function reconstructs 3-dimensional points (in homogeneous coordinates) by using their observations with a stereo camera.