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	Simultaneously Vanishing Point Detection and Radial Lens Distortion Correction from Single Wide-Angle Images
	Yang, Sen ; Rong, Jiangpeng ; Huang, Shiyao ; Shang, Zeyu ; Shi, Yongjie ; Ying, Xianghua ; Zha, Hongbin
	2016
关键词	CALIBRATION
英文摘要	Radial lens distortion often exists in common cameras, which makes the taken images violate the assumption of pinhole camera model. The prestigious division model for radial distortion with just a single parameter is presented by Fitzgibbon. Lines in 3D space may be projected onto curves in the image plane due to radial distortion. Aleman et al. utilized Hough transform with three parameters, one parameter coming from the division model, and the other two arising from the corrected image line, to automatically and simultaneously correct radial lens distortion and detect multiple image lines. The score function used in the method of Aleman et al. is the total weighted length of all peaks greater than some threshold in Hough space, namely, the image lines greater than some preset length. However, the corrected results from some distorted images are not very satisfactory using the method proposed by Aleman et al. In this paper, we present a novel score function which combines statistical quantities with grouping based on vanishing points from multiple line images. The experimental results validated the proposed method.; State Key Development Program Grand [2016YFB1001001]; NNSFC [61322309, 61273283]; CPCI-S(ISTP); 363-368
语种	英语
出处	IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/470062]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Yang, Sen,Rong, Jiangpeng,Huang, Shiyao,et al. Simultaneously Vanishing Point Detection and Radial Lens Distortion Correction from Single Wide-Angle Images. 2016-01-01.

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