Edge feature based approach for object recognition

被引：3

作者：

Lu T. ^{[1
]}

Peng L. ^{[1
]}

Zhang Y. ^{[2
]}

机构：

[1] School of Computer Science and Engineering, Wuhan Institute of Technology, 693 Xiongchu Avenue, Wuhan

[2] Hubei Key Laboratory of Intelligent Robot (Wuhan Institute of Technology), 693 Xiongchu Avenue, Wuhan

来源：

Pattern Recognition and Image Analysis | 2016年 / 26卷 / 02期

关键词：

edge; feature regroup; object recognition; voting;

D O I：

10.1134/S1054661816020243

中图分类号：

学科分类号：

摘要：

We address the problem of recognizing the object with distinctive edge features. For this purpose, a recognition approach based on local edge features is presented. First the edge features are detected in each image, and then its descriptor is computed to find the match features. Each match will give a vote with location, scale and orientation of the object. The recognition result can be found in the densest position in the vote space. Experimental results show that the presented method is robust and effective to the object with distinctive edge features. © 2016, Pleiades Publishing, Ltd.

引用

页码：350 / 353

页数：3

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