公开(公告)号：US20220028043A1

公开(公告)日：2022-01-27

申请号：US17284394

申请日：2020-03-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

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

IPC: G06T5/00 ,  G06T5/40 ,  G06T5/50 ,  G06T7/73 ,  G06T7/80

Abstract: A multispectral camera dynamic stereo calibration algorithm is based on saliency features. The joint self-calibration method comprises the following steps: step 1: conducting de-distortion and binocular correction on an original image according to internal parameters and original external parameters of an infrared camera and a visible light camera. Step 2: Detecting the saliency of the infrared image and the visible light image respectively based on a histogram contrast method. Step 3: Extracting feature points on the infrared image and the visible light image. Step 4: Matching the feature points extracted in the previous step. Step 5: judging a feature point coverage area. Step 6: correcting the calibration result. The present invention solves the change of a positional relationship between an infrared camera and a visible light camera due to factors such as temperature, humidity and vibration.

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.