A Robust Correspondence Using the Epipolar Geometry from Two Un-calibrated Images
Yong-In Yoon, In-Whan Oh, Kyoung-Soo Doo, Jong-Soo Choi, Jin-Tae Kim, Ho-Keun Song · The Journal of the Korean Institute of Information and Communication Engineering · 2006
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.