Contrast context histogram-An efficient discriminating local descriptor for object recognition and image matching

Authors:
Chun-Rong Huang;Chu-Song Chen;Pau-Choo Chung
Affiliations:
Institute of Information Science, Academia Sinica, Taipei 115, Taiwan;Institute of Information Science, Academia Sinica, Taipei 115, Taiwan;Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan
Venue:
Pattern Recognition
Year:
2008

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Abstract

In this paper, we propose a new invariant local descriptor, called the contrast context histogram (CCH), for image matching and object recognition. By representing the contrast distributions of a local region, it serves as a distinctive local descriptor of the region. Our experiments demonstrate that contrast-based local descriptors can represent local regions with more compact histogram bins. Because of its high matching accuracy and efficient computation, the CCH has the potential to be used in a number of real-time applications.