Image description with 1D local patterns by multi-scans: An application to face recognition

Wei Zhou, Alireza Ahrary, Sei Ichiro Kamata

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this work, a novel approach which called 1D local patterns by multi-scans(1DLPMS) for presenting the local features is proposed and its simplifications and extensions to facial image analysis are also considered. First, multi-scans are applied to capture different spatial information on the image with less computation than some traditional ways, such as Local Binary Patterns(LBP). Then, some 1D local patterns are given to encode the local features based on different coding rules. To make the proposed approach computationally simpler and easy to extend, grouped 1D local patterns by multiscans( G1DLPMS) is studied, which divides 1DLPMS into several groups and uses the co-occurrences of these groups. Performance assessment in face recognition under different challenges shows that the proposed approach is superior than traditional ones.

本文言語English
ホスト出版物のタイトル2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
ページ4553-4556
ページ数4
DOI
出版ステータスPublished - 2010 12 1
イベント2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
継続期間: 2010 9 262010 9 29

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period10/9/2610/9/29

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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