Combining color and geometry for local image matching

被引：0

作者：

Mazin, Baptiste ^{[1
]}

Delon, Julie ^{[1
]}

Gousseau, Yann ^{[1
]}

机构：

[1] Telecom ParisTech, LTCI CNRS, Paris, France

来源：

2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) | 2012年

关键词：

PERFORMANCE EVALUATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces a generic way to incorporate color information into local, SIFT-like descriptors, in view of image matching. First, a new color descriptor, relying on local hue histograms, is introduced. Second, we describe a procedure permitting the automatic setting of matching parameters when matching images using both geometric and color information. Experiments on a color image database show that our SIFT+ Hue combination performs significantly better than classical color descriptors.

引用

页码：2677 / 2680

页数：4

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