NDLI: Line-based Multi-Label Energy Optimization for fisheye image rectification and calibration

Content Provider	IEEE Xplore Digital Library
Author	Mi Zhang Jian Yao Menghan Xia Kai Li Yi Zhang Yaping Liu
Copyright Year	2015
Description	Author affiliation: Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China (Mi Zhang; Jian Yao; Menghan Xia; Kai Li; Yi Zhang; Yaping Liu)
Abstract	Fisheye image rectification and estimation of intrinsic parameters for real scenes have been addressed in the literature by using line information on the distorted images. In this paper, we propose an easily implemented fisheye image rectification algorithm with line constrains in the undistorted perspective image plane. A novel Multi-Label Energy Optimization (MLEO) method is adopted to merge short circular arcs sharing the same or the approximately same circular parameters and select long circular arcs for camera rectification. Further we propose an efficient method to estimate intrinsic parameters of the fisheye camera by automatically selecting three properly arranged long circular arcs from previously obtained circular arcs in the calibration procedure. Experimental results on a number of real images and simulated data show that the proposed method can achieve good results and outperforms the existing approaches and the commercial software in most cases.
Starting Page	4137
Ending Page	4145
File Size	4523436
Page Count	9
File Format	PDF
ISSN	10636919
e-ISBN	9781467369640
DOI	10.1109/CVPR.2015.7299041
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Optimization Calibration Estimation Image edge detection Merging Joints
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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