Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation

Abstract. The estimation of the epipolar geometry is especially difficult where the putative correspondences include a low percentage of inlier correspondences and/or a large subset of the inliers is consistent with a degenerate configuration of the epipolar geometry that is totally incorrect. This work presents the Balanced Exploration and Exploitation Model Search (BEEM) algorithm that works very well especially for these difficult scenes. The BEEM algorithm handles the above two difficult cases in a unified manner. The algorithm includes the following main features: (1) Balanced use of three search techniques: global random exploration, local exploration near the current best solution and local exploitation to improve the quality of the model. (2) Exploits available prior information to accelerate the search process. (3) Uses the best found model to guide the search process, escape from degenerate models and to define an efficient stopping criterion. (4) Presents a simple and effici...

• Type: Conference
• Year: 2006
• Where: ECCV
• Authors: Liran Goshen, Ilan Shimshoni
• Keywords: BEEM Algorithm, Computer Vision, ECCV 2006, Exploitation Model Search, Fast Putative Correspondences, Nearest Neighbor Algorithm, SIFT Correspondences