Elastic local reconstruction for human face recognition

Xudong Xie, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, a new face recognition algorithm based on a single frontal-view image for each face subject is proposed, which considers the effect of the face manifold structure. A human face is considered a combination of a sequence of local image blocks. Then an elastic local reconstruction (ELR) method is proposed to measure the similarities between the image block pairs in order to measure the difference between the two face images. Our algorithm not only benefits from the face manifold structure, in terms of being robust to various image variations, but also is computationally simple because there is no need to build the face manifold. We evaluate the performance of our proposed face recognition algorithm with the use of different databases and consistent and promising experimental results were obtained.
Original languageEnglish
Title of host publicationProceedings - Computer Graphics, Imaging and Visualisation
Subtitle of host publicationTechniques and Applications, CGIV'06
Pages190-193
Number of pages4
Volume2006
DOIs
Publication statusPublished - 1 Dec 2006
EventInternational Conference on Computer Graphics, Imaging and Visualisation, CGIV'06 - Sydney, Australia
Duration: 26 Jul 200628 Jul 2006

Conference

ConferenceInternational Conference on Computer Graphics, Imaging and Visualisation, CGIV'06
CountryAustralia
CitySydney
Period26/07/0628/07/06

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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