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A Robust Correspondence Using the Epipolar Geometry from Two Un-calibrated Images  

Yoon, Yong-In (중앙대학교 첨단영상대학원 영상공학과)
Oh, In-Whan (중앙대학교 첨단영상대학원 영상공학과)
Doo, Kyoung-Soo (중앙대학교 첨단영상대학원 영상공학과)
Choi, Jong-Soo (중앙대학교 첨단영상대학원 영상공학과)
Kim, Jin-Tae (한서대학교 컴퓨터정보학과)
Song, Ho-Keun (한서대학교 컴퓨터정보학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.3, 2006 , pp. 535-541 More about this Journal
Abstract
This paper proposes a robust method to find corresponding points for un-calibrated stereo images by using a classical method based on the epipolar constraints and motion flows. If we detect matching for the only epipolar geometry, the problem is very high. Therefore, in order to nod an initial set of matches, we use the correlation technique and then exploit motion vectors to remove mismatches among matching candidates. Then, the epipolar geometry can be accurately estimated using a veil adapted criterion and computed the fundamental matrix. The proposed algorithm has been widely tested and works remarkably well in various scenes, evenly, with many repetitive patterns. The results show that the proposed algorithm is better than the conventional.
Keywords
비교정된 영상;에피폴라;기하학 정보;기본 행렬;이동 벡터;
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