A multiview face recognition system based on eigenface method

Fui Liau Heng, Li Minn Ang, Phooi Seng Kah

Research output: Book chapter/Published conference paperConference paperpeer-review

6 Citations (Scopus)

Abstract

Most of the face recognition methods are mainly focused on frontal face images. Identifying faces under different views still remain as a difficult task. In this paper, a new multiview face recognition system based on eigenface method is proposed. Principal component analysis is used to extract the features from the face image. Cr space image is chosen instead of gray level image to perform the pose estimation because it gives more information regarding the pose orientation. A pose estimation method based on eigenface method is proposed. The pose orientation of the face image is determined by estimating the likelihood with the mean faces of the database in eigenspace. Results show that Cr space image outperformed gray level image in pose estimation. Results also show that face recognition systems that take into account more views give better recognition results.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
Volume2
DOIs
Publication statusPublished - 12 Dec 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia
Duration: 26 Aug 200829 Aug 2008

Conference

ConferenceInternational Symposium on Information Technology 2008, ITSim
Country/TerritoryMalaysia
CityKuala Lumpur
Period26/08/0829/08/08

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