Pose normalization for local appearance-based recognition face

Hua Gao*, Hazim Kemal Ekenel, Rainer Stiefelhagen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

48 Citations (SciVal)

Abstract

We focused this work on handling variation in facial appearance caused by 3D head pose. A pose normalization approach based on fitting active appearance models (AAM) on a given face image was investigated. Profile faces with different rotation angles in depth were warped into shape-free frontal view faces. Face recognition experiments were carried out on the pose normalized facial images with a local appearance- based approach. The experimental results showed a significant improvement in accuracy. The local appearance-based face recognition approach is found to be robust against errors introduced by face model fitting.

Original languageEnglish
Title of host publicationAdvances in Biometrics - Third International Conference, ICB 2009, Proceedings
Pages32-41
Number of pages10
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event3rd International Conference on Advances in Biometrics, ICB 2009 - Alghero, Italy
Duration: 2 Jun 20095 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5558 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Advances in Biometrics, ICB 2009
Country/TerritoryItaly
CityAlghero
Period2/06/095/06/09

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