Restoring occluded regions using FW-PCA for face recognition

Tomoki Hosoi, Sei Nagashima, Koji Kobayashi, Koichi Ito, Takafumi Aoki

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

Occlusions in face images such as eyeglasses, hairs and whiskers decrease the performance of face recognition algorithms. Addressing this problem, this paper proposes a method for restoring occluded regions in face images. The proposed method employs Fast Weighted Principal Component Analysis (FW-PCA), which computes PCA only with effective pixels. The use of FW-PCA makes it possible to detect and restore occluded regions in face images. Through a set of experiments using public face databases, we demonstrate the effectiveness of the proposed method compared with the conventional methods.

本文言語English
ホスト出版物のタイトル2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012
ページ23-30
ページ数8
DOI
出版ステータスPublished - 2012 8 20
イベント2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012 - Providence, RI, United States
継続期間: 2012 6 162012 6 21

出版物シリーズ

名前IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN(印刷版)2160-7508
ISSN(電子版)2160-7516

Other

Other2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012
CountryUnited States
CityProvidence, RI
Period12/6/1612/6/21

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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