Recovering epipolar geometry by reactive tabu search

被引:0
|
作者
Ke, Q [1 ]
Xu, G [1 ]
De Ma, S [1 ]
机构
[1] Chinese Acad Sci, Inst Aomat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
关键词
D O I
10.1109/ICCV.1998.710804
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we propose a new approach to recovering epipolar geometry from a pair of uncalibrated images. We first detect the feature points. By minimizing (a proposed cost function) we match the feature points, discard the outliers and recover the epipolar geometry in one step. Experiments on real images show that this approach is effective and fast.
引用
收藏
页码:767 / 771
页数:5
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