Wide Baseline Matching Through Homographic Transformation

This paper discusses the wide baseline matching problem where the camera parameters are known up to an error factor and the ground surface is considered planar. Junctions of different shapes and orientations are detected. Homographic correlation, an invariant measure to projective transformation, is utilized using reconstructed planes made of detected junctions. Two variants of homographic correlation are proposed showing that this approach outperforms non-homographic correlation.

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Rimon Elias
• Keywords: Baseline Matching Problem, Computer Vision, Homographic Correlation, ICPR 2004, Non-homographic Correlation