Illumination invariant multi-pose face tracking

Wei Wei, Yanning Zhang, Zenggang Lin

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

Abstract

A novel face tracking algorithm is proposed which is less insensitive to large face appearance variation caused by lighting and viewpoints. The proposed dynamic face appearance model includes an illumination invariant pose manifold to represent the pose nonlinearity and an object-specific incremental multi-pose face model. The pose manifold is built with the patch alignment algorithm, where the tensor based illumination reduction is used to define the local patch. Particularly, the probability of the face belonging to the pose manifold can be used for choosing the object-specific face model. The experimental results show the face tracking model can successfully track faces under unseen poses and changing illuminations.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Image and Graphics, ICIG 2009
PublisherIEEE Computer Society
Pages749-753
Number of pages5
ISBN (Print)9780769538839
DOIs
StatePublished - 2009
Event5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, China
Duration: 20 Sep 200923 Sep 2009

Publication series

NameProceedings of the 5th International Conference on Image and Graphics, ICIG 2009

Conference

Conference5th International Conference on Image and Graphics, ICIG 2009
Country/TerritoryChina
CityXi'an, Shanxi
Period20/09/0923/09/09

Fingerprint

Dive into the research topics of 'Illumination invariant multi-pose face tracking'. Together they form a unique fingerprint.

Cite this