Distinctive personal traits for face recognition under occlusion

Ping Han Lee, Yun Wen Wang, Ming Hsuan Yang, Jison Hsu, Yi Ping Hung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Existing local feature methods for face recognition utilize visually salient regions around eye, nose, and mouth to model the characteristics of a person. The premise of such an approach is that there exists a set of features that are common in all human faces and yet distinct to tell one from the rest apart. In this paper we present an algorithm that selects the best set of features or templates for each individual, and uses these distinct personal traits to boost face recognition performance even when they are partially occluded. Borne out by numerous experiments and comparisons, we demonstrate that the proposed method is effective in recognizing faces with partial occlusion and variation in expression.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4202-4207
Number of pages6
ISBN (Print)1424401003, 9781424401000
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan, Province of China
Duration: 2006 Oct 82006 Oct 11

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume5
ISSN (Print)1062-922X

Other

Other2006 IEEE International Conference on Systems, Man and Cybernetics
CountryTaiwan, Province of China
CityTaipei
Period06/10/806/10/11

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Lee, P. H., Wang, Y. W., Yang, M. H., Hsu, J., & Hung, Y. P. (2006). Distinctive personal traits for face recognition under occlusion. In 2006 IEEE International Conference on Systems, Man and Cybernetics (pp. 4202-4207). [4274559] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSMC.2006.384794