Global-to-Local Histogram Match Culling for Epipolar Geometry Estimation

Estimation of the Epipolar Geometry and Fundamental Matrix for a pair of stereo images often begins with a stage of feature (corner) detection and correlation based feature matching. This generally results in a set of matches where features are matched multiple times and frequently incorrectly. This paper introduces a simple and fast histogram based technique for refining the set of matches prior to a final stage of robust Fundamental Matrix estimation that compares favourably to previously published techniques such as SVD and Relaxation.