Robust facial feature extraction and matching
Automated feature extraction and correspondence determination is an extremely important problem in the face recognition community as it often forms the foundation of the normalisation and database construction phases of many recognition and verification systems. This paper presents a completely automatic feature extraction system based upon a modified volume descriptor. These features form a stable descriptor for faces and are utilised in a reversible jump Markov chain Monte Carlo correspondence algorithm to automatically determine correspondences which exist between faces. The developed system is invariant to changes in pose and occlusion and results indicate that it is also robust to minor face deformations which may be present with variations in expression.
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|Item Type:||Journal Article|
|Keywords:||Registration, Statistical surface matching, Automatic correspondence, Face recognition|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 JPRR.|
|Copyright Statement:||All rights reserved. Permissions to make digital or hard copies of all or part of
this work for personal or classroom use may be granted by JPRR provided that copies are not
made or distributed for profit or commercial advantage and that copies bear this notice and
the full citation on the first page.
|Deposited On:||22 Jul 2012 23:02|
|Last Modified:||12 Feb 2013 22:56|
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