2D face recognition in the IV2 evaluation campaign

Anouar Mellakh, Anis Chaari, Souhila Guerfi, Johan Dhose, Joseph Colineau, Sylvie Lelandais, Dijana Petrovska-Delacrètaz, Bernadette Dorizzi

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

Abstract

In this paper, the first evaluation campaign on 2D-face images using the multimodal IV2 database is presented. The five appearance-based algorithms in competition are evaluated on four experimental protocols, including experiments with challenging illumination and pose variabilities. The results confirm the advantages of the Linear Discriminant Analysis (LDA) and the importance of the training set for the Principal Component Analysis (PCA) based approaches. The experiments show the robustness of the Gabor based approach combined with LDA, in order to cope with challenging face recognition conditions. This evaluation shows the interest and the richness of the IV 2 multimodal database.

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 11th International Conference, ACIVS 2009, Proceedings
Pages24-32
Number of pages9
DOIs
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009 - Bordeaux, France
Duration: 28 Sept 20092 Oct 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5807 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009
Country/TerritoryFrance
CityBordeaux
Period28/09/092/10/09

Keywords

  • 2D face recognition
  • Appearance-based algorithms
  • Database
  • Evaluation campaign

Fingerprint

Dive into the research topics of '2D face recognition in the IV2 evaluation campaign'. Together they form a unique fingerprint.

Cite this