TitleRADIAL LENS DISTORTION CORRECTION USING CASCADED ONE-PARAMETER DIVISION MODEL
AuthorsMei, Xiang
Yang, Sen
Rong, Jiangpeng
Ying, Xianghua
Huang, Shiyao
Zha, Hongbin
AffiliationPeking Univ, Ctr Informat Sci, Sch Elect Engn & Comp Sci, Key Lab Machine Percept,Minist Educ, Beijing 100871, Peoples R China.
KeywordsRadial distortion
Cascaded division model
Distortion correction
Camera calibration
CALIBRATION
Issue Date2015
Publisher2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Citation2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP).Quebec City, CANADA,2015/1/1.
AbstractRadial lens distortion is the most significant lens distortion in current cameras, and many models are proposed to describe it. Fitzgibbon presented the prestigious division distortion model with just a single parameter. Based on the fact that a line in 3D space may be projected onto a curve in the image plane due to radial distortion, Aleman et al. utilized the Hough transform with three parameters to automatically correct radial lens distortion, namely, one parameter coming from the division model, and the other two arising from the corrected image line. However, in some cases, especially for wide angle lenses, the corrected results are not very satisfactory. Someone may suggest that we can use the so-called extended division model with more than one parameter. Unfortunately, the problem will become very hard to solve, since the dimensions of the Hough parameter space become higher than three. In this paper, we propose a cascaded one-parameter division model to deal with the problem. In each stage the Hough parameter space is always three-dimensional. Enormous experiments on real images illustrate the ability of our method.
URIhttp://hdl.handle.net/20.500.11897/436432
ISSN1522-4880
DOI10.1109/ICIP.2015.7351478
IndexedEI
CPCI-S(ISTP)
Appears in Collections:信息科学技术学院
机器感知与智能教育部重点实验室

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