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题名: Removal of noise and radial lens distortion during calibration of computer vision systems
作者: Wang ZZ(王振洲)
作者部门: 机器人学研究室
刊名: OPTICS EXPRESS
ISSN号: 1094-4087
出版日期: 2015
卷号: 23, 期号:9, 页码:11341-11356
收录类别: SCI ; EI
产权排序: 1
摘要: The calibration of computer vision systems that contain the camera and the projector usually utilizes markers of the well-designed patterns to calculate the system parameters. Undesirably, the noise and radial distortion exist universally, which decreases the calibration accuracy and consequently decreases the measurement accuracy of the related technology. In this paper, a method is proposed to remove the noise and radial distortion by registering the captured pattern with an ideal pattern. After the optimal modeled pattern is obtained by registration, the degree of freedom of the total calibration markers is reduced to one and both the noise and radial distortion are removed successfully. The accuracy improvement in a structured light scanning system is over 1024order of magnitude in the sense of mean square errors. Most importantly, the proposed method can be readily adopted by the computer vision techniques that use projectors or cameras. © 2015 Optical Society of America.
语种: 英语
WOS记录号: WOS:000354337700046
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/17139
Appears in Collections:机器人学研究室_期刊论文

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Recommended Citation:
Wang ZZ. Removal of noise and radial lens distortion during calibration of computer vision systems[J]. OPTICS EXPRESS,2015,23(9):11341-11356.
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文件名: Removal of noise and radial lens distortion during calibration of computer vision systems.pdf
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