AN EFFICIENT AND ROBUST CAMERA EXTRINSIC PARAMETERS CALIBRATION ALGORITHM
(0) Generally speaking, camera extrinsic parameters are composed of 3 rotation angles and a translation vector, which has 3 components, and the calibration process is to identify these 6 parameters. It can be proved that at least 3 corresponding points should be given for the process and when more than 3 points are given, the system is over determined and has to be solved by minimizing the RMS error. In this paper, a camera extrinsic parameters calibration algorithm or camera pose estimation algorithm is studied. The algorithm ensures its efficiency (20 milliseconds if no more than 9 corresponding points are given) and robustness by a good initial value guess and an omnidirectional search for poor input data. It has been successfully used in texture mapping for cultural relics such as a jade chisel from Jinsha and a Buddha statue from Zhejiang Provincial Museum.
Virtual Reality Texture Mapping Camera Calibration Computer Vision Extrinsic Parameters Calibration Least Square Method
XIFAN SHII CHANGYU DIAO DONGMING LU
College of Computer Science and Technology, Zhejiang University College of Computer Science and Technology, Zhejiang University State Key Lab. of CAD and CG Zhejian
国际会议
开封
英文
242-249
2006-10-15（万方平台首次上网日期，不代表论文的发表时间）