Efficient Geometric Matching with Higher-Order Features

被引：0

作者：

Paramanand, C. ^{[1
]}

Rajagopalan, A. N. ^{[1
]}

机构：

[1] Indian Inst Technol Madras, Dept Elect Engn, Image Proc & Comp Vis Lab, Madras, Tamil Nadu, India

来源：

19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 | 2008年

关键词：

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：

We propose a new technique in which line segments and elliptical arcs are used as features for recognizing image patterns. By using this approach, the process of locating a model in a given image is efficient since the number of features to be compared is few. We propose distance measures to evaluate the similarity between the features of the model and that of the image. The model transformation parameters are found by searching the transformation space using cell decomposition.

引用

页码：3241 / 3244

页数：4

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