Object Recognition Using a Generalized Robust Invariant Feature and Gestalt’s Law of Proximity and Similarity

Abstract

In this paper, we propose a new context-based method for object recognition. We first introduce a neurophysiologically motivated visual part detector. We found that the optimal form of the visual part detector is a combination of a radial symmetry detector and a corner-like structure detector. A general context descriptor, named GRIF (Generalized-Robust… (More)
DOI: 10.1109/CVPRW.2006.146

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