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Author:

Song, Cai-Fang (Song, Cai-Fang.) | Yin, Bao-Cai (Yin, Bao-Cai.) (Scholars:尹宝才) | Sun, Yan-Feng (Sun, Yan-Feng.) (Scholars:孙艳丰) | Liu, Li (Liu, Li.)

Indexed by:

CPCI-S

Abstract:

In this paper, a novel glasses-face recognition approach, eyeglasses fisherfaces, is proposed to recognize glasses-face, which treats eyeglasses as a feature of facial image, and applies fisherfaces into glasses-face images. It overcomes the choke point of removing eyeglasses which be used in previous glasses-face recognition methods. Considering the instability of eyeglasses as a facial feature, here we make use of 3D face synthesis method based on genetic algorithm to reconstruct virtual samples, to enrich the sample library. It not only can be used in different pose, illumination and expression, but also provide a new thought-way for occlusion problem in face recognition. On CAS-PEAL face databases, our experimental results demonstrate that eyeglasses fisherfaces performs well.

Keyword:

fisherfacesgenetic eyeglasses face synthesis algorithm3D

Author Community:

  • [ 1 ] [Song, Cai-Fang]Beijing Univ Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China
  • [ 2 ] [Yin, Bao-Cai]Beijing Univ Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China
  • [ 3 ] [Sun, Yan-Feng]Beijing Univ Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China
  • [ 4 ] [Liu, Li]Beijing Univ Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Song, Cai-Fang]Beijing Univ Technol, Multimedia & Intelligent Software Technol Beijing, Beijing 100022, Peoples R China

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Source :

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6

Year: 2009

Page: 1743-1748

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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