NDLI: On the epipolar geometry between two images with lens distortion

Content Provider	IEEE Xplore Digital Library
Author	Zhengyou Zhang
Copyright Year	1996
Description	Author affiliation: Inst. Nat. de Recherche en Inf. et Autom., Sophia-Antipolis, France (Zhengyou Zhang)
Abstract	In order to achieve a 3D, either Euclidean or projective, reconstruction with high precision, one has to consider lens distortion. In almost all work on multiple-views problems in computer vision, a camera is modeled as a pinhole. Lens distortion has usually been corrected off-line. This paper intends to consider lens distortion as an integral part of a camera. We first describe the epipolar geometry between two images with lens distortion. For a point in one image, its corresponding point in the other image should lie on a so-called epipolar curve. We then investigate the possibility of estimating the distortion parameters and the fundamental matrix based on the generalized epipolar constraint. Experimental results with computer simulation show that the distortion parameters can be estimated correctly if the noise in image points is low and the lens distortion is severe. Otherwise, it is better to treat the cameras as being distortion-free.
Starting Page	407
Ending Page	411
File Size	478243
Page Count	5
File Format	PDF
ISBN	081867282X
ISSN	10514651
DOI	10.1109/ICPR.1996.546059
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lenses Cameras Pixel Computer vision Parameter estimation Image reconstruction Computer simulation Calibration Computational geometry Solid modeling
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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