Edge feature based approach for object recognition
- 作者: Lu T.1, Peng L.1, Zhang Y.2
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隶属关系:
- School of Computer Science and Engineering
- Hubei Key Laboratory of Intelligent Robot (Wuhan Institute of Technology)
- 期: 卷 26, 编号 2 (2016)
- 页面: 350-353
- 栏目: Representation, Processing, Analysis and Understanding of Images
- URL: https://journals.rcsi.science/1054-6618/article/view/194716
- DOI: https://doi.org/10.1134/S1054661816020243
- ID: 194716
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详细
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.
作者简介
Tongwei Lu
School of Computer Science and Engineering
编辑信件的主要联系方式.
Email: lutongwei@wit.edu.cn
中国, 693 Xiongchu Avenue, Wuhan, 430074
Ling Peng
School of Computer Science and Engineering
Email: lutongwei@wit.edu.cn
中国, 693 Xiongchu Avenue, Wuhan, 430074
Yanduo Zhang
Hubei Key Laboratory of Intelligent Robot (Wuhan Institute of Technology)
Email: lutongwei@wit.edu.cn
中国, 693 Xiongchu Avenue, Wuhan, 430074
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