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

Chun Rong Huang, Chu Song Chen, Pau Choo Chung

Research output: Contribution to journalArticlepeer-review

79 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)3071-3077
Number of pages7
JournalPattern Recognition
Volume41
Issue number10
DOIs
Publication statusPublished - 2008 Oct 1

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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