
Proceedings Paper
The study of calibration and epipolar geometry for the stereo vision system built by fisheye lensesFormat | Member Price | Non-Member Price |
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Paper Abstract
Fish-eye lens is a kind of short focal distance (f=6~16mm) camera. The field of view (FOV) of it is near or even
exceeded 180×180 degrees. A lot of literatures show that the multiple view geometry system built by fish-eye lens will
get larger stereo field than traditional stereo vision system which based on a pair of perspective projection images. Since
a fish-eye camera usually has a wider-than-hemispherical FOV, the most of image processing approaches based on the
pinhole camera model for the conventional stereo vision system are not satisfied to deal with the applications of this
category of stereo vision which built by fish-eye lenses. This paper focuses on discussing the calibration and the epipolar
rectification method for a novel machine vision system set up by four fish-eye lenses, which is called Special Stereo
Vision System (SSVS). The characteristic of SSVS is that it can produce 3D coordinate information from the whole
global observation space and acquiring no blind area 360º×360º panoramic image simultaneously just using single vision
equipment with one time static shooting. Parameters calibration and epipolar rectification is the basic for SSVS to realize
3D reconstruction and panoramic image generation.
Paper Details
Date Published: 8 February 2015
PDF: 10 pages
Proc. SPIE 9406, Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 94060M (8 February 2015); doi: 10.1117/12.2079033
Published in SPIE Proceedings Vol. 9406:
Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques
Juha Röning; David Casasent, Editor(s)
PDF: 10 pages
Proc. SPIE 9406, Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 94060M (8 February 2015); doi: 10.1117/12.2079033
Show Author Affiliations
Published in SPIE Proceedings Vol. 9406:
Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques
Juha Röning; David Casasent, Editor(s)
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