| 大视场摄像机标定方法研究进展 |
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| 引用本文： | 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):303-308. |
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| 作者姓名： | 王子昂 黄富瑜 刘秉琦 葛鹏飞 陈一超 张帅 |
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| 作者单位： | 陆军工程大学石家庄校区电子与光学工程系,石家庄,050003;中国人民解放军66350部队,河北保定,071000 |
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| 基金项目： | 国家自然科学基金项目(61801507). |
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| 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。
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| 关 键 词： | 计算机视觉 大视场摄像机标定 成像模型 标定板 |
| 收稿时间： | 2018/11/21 0:00:00 |
Research Progress of Calibration Method for Large Field Cameras |
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| WANG Ziang,HUANG Fuyu,LIU Bingqi,GE Pengfei,CHEN Yichao and ZHANG Shuai.Research Progress of Calibration Method for Large Field Cameras[J].Semiconductor Optoelectronics,2019,40(3):303-308. |
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| Authors: | WANG Ziang HUANG Fuyu LIU Bingqi GE Pengfei CHEN Yichao and ZHANG Shuai |
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| Affiliation: | Dept.of Electronics and Optical Engin., Shijiazhuang Campus, Army Engin.University, Shijiazhuang 050003, CHN,Dept.of Electronics and Optical Engin., Shijiazhuang Campus, Army Engin.University, Shijiazhuang 050003, CHN,Dept.of Electronics and Optical Engin., Shijiazhuang Campus, Army Engin.University, Shijiazhuang 050003, CHN,Unit 66350 of PLA, Baoding 071000, CHN,Dept.of Electronics and Optical Engin., Shijiazhuang Campus, Army Engin.University, Shijiazhuang 050003, CHN and Dept.of Electronics and Optical Engin., Shijiazhuang Campus, Army Engin.University, Shijiazhuang 050003, CHN |
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| 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 . |
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| Keywords: | computer vision large field of view camera calibration imaging models checker board |
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