Two-Frame Wide Baseline Matching

This paper describes a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of several aspects: First, the use of an affine invariant feature, edge-corner, is introduced to provide a robust and consistent matching primitives. Second, based on SVD decomposition of affine matrix, the affine matching space between two corners can be approximately divided into two independent spaces by rotation angle and scaling factor. Employing this property, a two-stage affine matching algorithm is designed to obtain robust matches over two frames. Third, using the epipolar geometry estimated by these matches, more corresponding feature points are determined. Based on these robust correspondences, the fundamental matrix is refined, and a series of virtual views of the scene are synthesized. Finally, several experiments are presented to illustrate that a number of robust correspondences can be stably determine...

• Type: Conference
• Year: 2003
• Where: ICCV
• Authors: Jiangjian Xiao, Mubarak Shah
• Keywords: Affine Invariant Feature, Affine Matching Algorithm, Affine Matching Space, Computer Vision, Corresponding Feature Points, ICCV 2003, Robust Correspondences