Open AccessCalibration of RGB-D Camera Using Depth Correction Model
Author(s) -
Yang Zhou,
Danqing Chen,
Jun Wu,
Mingyi Huang,
Yubin Weng
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2203/1/012032
Subject(s) - camera resectioning , calibration , artificial intelligence , distortion (music) , computer vision , rgb color model , camera auto calibration , computer science , measured depth , mathematics , physics , amplifier , computer network , statistics , bandwidth (computing) , geophysics
This paper proposes a calibration method of RGB-D camera, especially its depth camera. First, use a checkerboard calibration board under auxiliary Infrared light source to collect calibration images. Then, the internal and external parameters of the depth camera are calculated by Zhang’s calibration method, which improves the accuracy of the internal parameter. Next, the depth correction model is proposed to directly calibrate the distortion of the depth image, which is more intuitive and faster than the disparity distortion correction model. This method is simple, high-precision, and suitable for most depth cameras.