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1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'96)
Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration
San Francisco, Ca.
June 18-June 20
ISBN: 0-8186-7258-7
Jean Ponce, University of Illinois Email: ponce@cs.uiuc.edu.
Yakup Genc., University of Illinois Email: ponce@cs.uiuc.edu.
This paper addresses the problem of estimating the epipolar geometry from point correspondences between two images taken by uncalibrated perspective cameras. It is shown that Jepson's and Heeger's linear subspace technique for infinitesimal motion estimation can be generalized to the finite motion case by choosing an appropriate basis for projective space. This yields a linear method for weak calibration. The proposed algorithm has been implemented and tested on both real and synthetic images, and it is compared to other linear and non-linear approaches to weak calibration.
Index Terms:
Weak calibration, epipolar geometry, projective geometry
Citation:
Jean Ponce, Yakup Genc., "Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration," cvpr, pp.776, 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'96), 1996
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