Local binary pattern special investigation based on search image face texture recognition

Hsien Chih Hu, Hsin Ching Chou, Yeong Chin Chen, Shu-chung Yi

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

The local binary pattern approach, a texture descriptor method proposed by Ojala et al., has gained increased acceptance due to its computational simplicity and more importantly for encoding a powerful signature for describing textures. LBP feature extraction of edge face detection, in the light of with human face discrimination influence different angles test recognition efficiency. The algorithm presents some limitations such as lack of rotational invariance which have led to many proposals or extensions in order to overcome such limitations. In this paper we performed a modified algorithm of the original LBP proposal together with other recently proposed LBP extensions. Experimental results demonstrated the effectiveness and robustness of the described texture descriptors for images that are subjected to geometric or radiometric changes.

原文English
主出版物標題Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面686-689
頁數4
ISBN(電子)9781509030712
DOIs
出版狀態Published - 2016 八月 16
事件2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016 - Xi'an, China
持續時間: 2016 七月 42016 七月 6

出版系列

名字Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016

Other

Other2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016
國家China
城市Xi'an
期間16-07-0416-07-06

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Control and Optimization

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