Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration

被引：0
作者：
Jean Ponce
Yakup Genc
机构：
[1] University of Illinois,Department of Computer Science and Beckman Institute
来源：
International Journal of Computer Vision | 1998年 / 28卷
关键词：
projective geometry; subspace methods; weak calibration;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：223 / 243
页数：20
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