Bibliographic Details
| Title: |
Contrast context histogram—An efficient discriminating local descriptor for object recognition and image matching |
| Authors: |
Huang, Chun-Rong1 nckuos@iis.sincia.edu.tw, Chen, Chu-Song1 song@iis.sincia.edu.tw, Chung, Pau-Choo2 pcchung@ee.ncku.edu.tw |
| Source: |
Pattern Recognition. Oct2008, Vol. 41 Issue 10, p3071-3077. 7p. |
| Subjects: |
Bulk solids handling, Compressibility, Compacting, Warehouses |
| Abstract: |
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. [Copyright &y& Elsevier] |
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| Database: |
Engineering Source |
