中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
GPU-based distortion correction for CMOS positioning camera using star point measurement

文献类型:会议论文

作者Bu, Fan; Yao, Dalei; Qiu, Yuehong; Cao, Weicheng; Wang, Li
出版日期2018-12-18
会议日期2018-12-14
会议地点Chongqing, China
DOI10.1109/ITOEC.2018.8740375
英文摘要

Due to machining errors and assembly errors, the optical system of the camera is somewhat different from the ideal model through the pinholes. That means, there are different degrees of non-linear optical distortion between the ideal image and the actual image formed by the camera. In order to improve the positioning accuracy of the camera, distortion correction should be done. This paper puts forward a GPU-Based Star Calibration and Proofreading Algorithm (GBSC-PA). This algorithm is completed by CUDA programmable graphics processor technologies, and a number of lens distortion coefficients are solved using star point images. Moreover, the optimal distortion correction matrix can be used to improve the accuracy and speed of the algorithm greatly. Through the experimental measurements and simulation, the feasibility and efficiency of the new algorithm are verified. Compared with the conventional correction algorithm based on CPU, the speed-up ratio of GPU-based parallel program can be reached to 43.094. © 2018 IEEE.

产权排序1
会议录Proceedings of 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference, ITOEC 2018
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
ISBN号9781538653739
WOS记录号WOS:000491408500245
源URL[http://ir.opt.ac.cn/handle/181661/31588]  
专题西安光学精密机械研究所_空间光学应用研究室
作者单位Space Optical Technology Research Department, Xi'An Institute of Optics and Precision Mechanics of CAS, Xi'an, China
推荐引用方式
GB/T 7714
Bu, Fan,Yao, Dalei,Qiu, Yuehong,et al. GPU-based distortion correction for CMOS positioning camera using star point measurement[C]. 见:. Chongqing, China. 2018-12-14.

入库方式: OAI收割

来源:西安光学精密机械研究所

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