Skip navigation
Skip navigation

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


File Description SizeFormat Image
01_Sanderson_On_transforming_statistical_2006.pdf369.58 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator