TRAJECTORY FEATURE ALIGNMENT-BASED MULTISPECTRAL STEREO CAMERA SELF-CALIBRATION ALGORITHM

摘要

A trajectory feature alignment-based multispectral stereo camera self-calibration method, relating to the fields of image processing and computer vision. In the method, an optimal matching point is obtained by extracting and matching an object movement trajectory, and an external parameter is corrected accordingly. Compared with an ordinary method, a trajectory of a moving object is used as a feature required for self-calibration, and the advantage of using the trajectory is that the trajectory has good cross-modal robustness. In addition, directly matching the trajectory further omits feature point extracting and matching steps, the operation is simple and convenient, and the result is accurate.