半导体光电, 2019, 40 (3): 303, 网络出版: 2019-07-09
大视场摄像机标定方法研究进展
Research Progress of Calibration Method for Large Field Cameras
计算机视觉 大视场摄像机标定 成像模型 标定板 computer vision large field of view camera calibration imaging models checker board
摘要
摄像机标定通过求解摄像机的内外参数,获取空间物体三维坐标与图像二维坐标的对应关系,在计算机视觉中起到越来越重要的作用。介绍了摄像机标定技术中的常用坐标系及转换关系、摄像机成像的线性及非线性模型,以及三类典型的标定方法。相比于小视场,针对大视场摄像机标定方法的研究较少,重点针对六个方面的改进,归纳了国内外近年来大视场摄像机标定方法的研究进展。
Abstract
Camera calibration obtains the correspondence between the 3D coordinates of the space object and its 2D coordinates of the images by solving the internal and external parameters of the camera, and it is of much more importance in computer vision. In this paper, introduced are the common coordinate system and transformation relation in camera calibration technology, linear and non-linear models of camera imaging, and three kinds of typical calibration methods. Focusing on six aspects of the improvements of large field of view camera calibration, the research progresses in recent years are summarized .
王子昂, 黄富瑜, 刘秉琦, 葛鹏飞, 陈一超, 张帅. 大视场摄像机标定方法研究进展[J]. 半导体光电, 2019, 40(3): 303. WANG Ziang, HUANG Fuyu, LIU Bingqi, GE Pengfei, CHEN Yichao, ZHANG Shuai. Research Progress of Calibration Method for Large Field Cameras[J]. Semiconductor Optoelectronics, 2019, 40(3): 303.