Clustering in color feature space for image correspondence

An algorithm for matching image regions of multiple images is presented in this paper. The authors describe a clustering algorithm for grouping the similar tokens of regions and for selecting significant regions in HVS perceptual space. They also present a matching algorithm that uses classification information to plan a matching strategy: less ambiguous significant regions are matched first and are used as 'handles' for constraint propagation to match the remaining regions.<>