公开(公告)号：US20220036589A1

公开(公告)日：2022-02-03

申请号：US17279461

申请日：2020-03-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Wei ZHONG ,  Boqian LIU ,  Haojie LI ,  Zhihui WANG ,  Risheng LIU ,  Xin FAN ,  Zhongxuan LUO

IPC: G06T7/80 ,  H04N13/239 ,  H04N13/156 ,  H04N13/25 ,  G06T7/13

Abstract: The present invention discloses a multispectral camera external parameter self-calibration algorithm based on edge features, and belongs to the field of image processing and computer vision. Because a visible light camera and an infrared camera belong to different modes, fewer satisfactory point pairs are obtained by directly extracting and matching feature points. In order to solve the problem, the method starts from the edge features, and finds an optimal corresponding position of an infrared image on a visible light image through edge extraction and matching. In this way, a search range is reduced and the number of the satisfactory matched point pairs is increased, thereby more effectively conducting joint self-calibration on the infrared camera and the visible light camera. The operation is simple and results are accurate.