Advertisement
Published in:
2009 | OriginalPaper | Chapter
2D Face Recognition in the IV2 Evaluation Campaign
Authors : Anouar Mellakh, Anis Chaari, Souhila Guerfi, Johan Dhose, Joseph Colineau, Sylvie Lelandais, Dijana Petrovska-Delacrètaz, Bernadette Dorizzi
Published in: Advanced Concepts for Intelligent Vision Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this paper, the first evaluation campaign on 2D-face images using the multimodal IV
2
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.