Robust face recognition by combining projection-based image correction and decomposed eigenface

Takeshi Shakunaga, Fumihiko Sakaue, Kazuma Shigenari

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

5 Citations (Scopus)

Abstract

This paper presents a robust face recognition method which can work even when an insufficient number of images are registered for each person. The method is composed of image correction and image decomposition, both of which are specified in the normalized image space (NIS). The image correction[1, 2] is realized by iterative projections of an image to an eigenspace in NIS. It works well for natural images having various kinds of noise, including shadows, reflections, and occlusions. We have proposed decomposition of an eigenface into two orthogonal eigenspaces[3], and have shown that the decomposition is effective for realizing robust face recognition under various lighting conditions. This paper shows that the decomposed eigenface method can be refined by projection-based image correction.

Original languageEnglish
Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Pages241-247
Number of pages7
DOIs
Publication statusPublished - 2004
Externally publishedYes
EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of
Duration: May 17 2004May 19 2004

Publication series

NameProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Other

OtherProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Country/TerritoryKorea, Republic of
CitySeoul
Period5/17/045/19/04

ASJC Scopus subject areas

  • Engineering(all)

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