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Content Provider | IEEE Xplore Digital Library |
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Author | Ying, Xianghua Mei, Xiang Yang, Sen Wang, Ganwen Zha, Hongbin |
Copyright Year | 2014 |
Description | Author affiliation: Key Laboratory of Machine Perception (Ministry of Education) School of Electronic Engineering and Computer Science, Center for Information Science, Peking University, Beijing 100871, P.R. China (Ying, Xianghua; Mei, Xiang; Yang, Sen; Wang, Ganwen; Zha, Hongbin) |
Abstract | In Hartley-Kang's paper [7], they directly treated a planar calibration pattern as an image to construct an image pair together with a radial distorted image of the planar calibration pattern, and then proposed a very efficient method to determine the center of radial distortion by estimating the epipole in the radial distorted image. After determined the center of radial distortion, a least square method was utilized to recover the radial distortion function using the monotonicity constraints. In this paper, we present a convex optimization method to recover the radial distortion function using the same constraints as those required by Hartley-Kang's method, whereas our method can obtain better results of radial distortion correction. The experiments validate our approach. |
Starting Page | 3440 |
Ending Page | 3443 |
File Size | 457306 |
Page Count | 4 |
File Format | |
ISBN | 9781479957514 |
DOI | 10.1109/ICIP.2014.7025699 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-10-27 |
Publisher Place | France |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cameras Calibration Convex functions Lenses Computational modeling Computer vision Least squares methods camera calibration Radial distortion distortion correction convex optimization |
Content Type | Text |
Resource Type | Article |
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