PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Face Recognition Based on 2D and 3D Features
Stefano Arca, Raffaella Lanzarotti and Giuseppe Lipori
In: KES 2007, 12-14 sep 2007, Vietri sul Mare, Italy.


This paper presents a completly automated face recognition system integrating both two dimensional (texture) and three dimensional (shape) features. We introduce a novel fusion strategy that allows to automatically select, for each face, the most relevant features from each modality. The performance is evaluated on the largest public data corpus for face recognition currently available, the Face Recognition Grand Challenge version 2.0.

EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:3530
Deposited By:Giuseppe Lipori
Deposited On:11 February 2008