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Special Issue Article Open Access
This paper contribute the design of a framework able to extract match and recognize multiple instances of multiple test logos with reference logos in image archives. Reference logos and test images are seen as constellations of local features (interest points, regions, etc.) and matched by minimizing an energy function mixing: 1) a fidelity term that measures the quality of feature matching, 2) a neighborhood criterion that captures feature cooccurrence/ geometry, and 3) a regularization term that controls the smoothness of the matching solution.
Image detection, SIFT, Image recognition, Extraction Chromatography