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On transforming statistical models for non-frontal face verification

Sanderson, Conrad; Bengio, Samy; Gao, Yongsheng


We address the pose mismatch problem which can occur in face verification systems that have only a single (frontal) face image available for training. In the framework of a Bayesian classifier based on mixtures of gaussians, the problem is tackled through extending each frontal face model with artificially synthesized models for non-frontal views. The synthesis methods are based on several implementations of maximum likelihood linear regression (MLLR), as well as standard multi-variate linear...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Journal article
Source: Pattern Recognition
DOI: 10.1016/j.patcog.2005.07.001


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