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ICIAP
2001
Springer

Bayesian Face Recognition with Deformable Image Models

10 years 4 months ago
Bayesian Face Recognition with Deformable Image Models
We propose a novel representation for characterizing image differences using a deformable technique for obtaining pixel-wise correspondences. This representation, which is based on a deformable 3D mesh in XYI-space, is then experimentally compared with two related correspondence methods: optical flow and intensity differences. Furthermore, we make use of a probabilistic similarity measure for direct image matching based on a Bayesian analysis of image variations. We model two classes of variation in facial appearance: intra-personal and extra-personal. The probability density function for each class is estimated from training data and used to compute a similarity measure based on the a posteriori probabilities. The performance advantage of our deformable probabilistic matching technique is demonstrated using 1700 faces from the US Army's "FERET" face database. International Conference on Image Analysis & Processing (ICIAP'01), Palermo, Italy, September 2001 Thi...
Baback Moghaddam, Chahab Nastar, Alex Pentland
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2001
Where ICIAP
Authors Baback Moghaddam, Chahab Nastar, Alex Pentland
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