PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A generalized EM approach for 3D model based face recognition under occlusions
Michael De Smet, Rik Fransens, Luc Van Gool and Luc Van Gool
In: CVPR 2006, 17-22 June 2006, New York, USA.


This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3D morphable face model to approximate the appearance of a face in an image. Simultaneously, a visibility map is computed which segments the image into visible and occluded regions. The visibility map is incorporated into a probabilistic image formation model as a set of spatially correlated random variables. This leads to a Generalized Expectation-Maximization algorithm in which the estimation of the morphable model related parameters is interleaved with visibility computations. The validity of the algorithm is verified by a face recognition experiment using images from the publicly available AR Face Database.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:3540
Deposited By:Luc Van Gool
Deposited On:11 February 2008