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Proceedings Paper

Fish-eye lens camera nonlinear calibration for stereo vision system
Author(s): Yunde Jiar; Hongjing Lu
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Paper Abstract

This paper presents an approach to calibrating a fish-eye lens camera with high accuracy for stereo vision to recover dense depth image. The camera model accounts for the fish-eye deformation and major sources of camera distortion including radial distortion, decentering distortion and thin prism distortion. We use nonlinear least-squares techniques to solve for the camera parameters that best project three-dimensional points of a calibration pattern onto intensity edges in an image of this pattern, without explicitly extracting the features such as corners, edges or points. The effectiveness of the proposed calibration method has been proved by experimentation.

Paper Details

Date Published: 23 October 2000
PDF: 9 pages
Proc. SPIE 4117, Vision Geometry IX, (23 October 2000); doi: 10.1117/12.404831
Show Author Affiliations
Yunde Jiar, Beijing Institute of Technology (China)
Hongjing Lu, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 4117:
Vision Geometry IX
Longin Jan Latecki; David M. Mount; Angela Y. Wu, Editor(s)

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