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

被引：73

作者：

Huang, Chun-Rong ^{[1
]}

Chen, Chu-Song ^{[1
]}

Chung, Pau-Choo ^{[2
]}

机构：

[1] Acad Sinica, Inst Informat Sci, Taipei 115, Taiwan

[2] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 70101, Taiwan

来源：

PATTERN RECOGNITION | 2008年 / 41卷 / 10期

关键词：

image matching; local descriptor; object recognition;

D O I：

10.1016/j.patcog.2008.03.013

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：3071 / 3077

页数：7

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