DocumentCode :
3405236
Title :
3D morphable model construction for robust ear and face recognition
Author :
Bustard, John D. ; Nixon, Mark S.
Author_Institution :
ISIS, Univ. of Southampton, Southampton, UK
fYear :
2010
fDate :
13-18 June 2010
Firstpage :
2582
Lastpage :
2589
Abstract :
Recent work suggests that the human ear varies significantly between different subjects and can be used for identification. In principle, therefore, using ears in addition to the face within a recognition system could improve accuracy and robustness, particularly for non-frontal views. The paper describes work that investigates this hypothesis using an approach based on the construction of a 3D morphable model of the head and ear. One issue with creating a model that includes the ear is that existing training datasets contain noise and partial occlusion. Rather than exclude these regions manually, a classifier has been developed which automates this process. When combined with a robust registration algorithm the resulting system enables full head morphable models to be constructed efficiently using less constrained datasets. The algorithm has been evaluated using registration consistency, model coverage and minimalism metrics, which together demonstrate the accuracy of the approach. To make it easier to build on this work, the source code has been made available online.
Keywords :
computer graphics; face recognition; image reconstruction; image registration; 3D morphable model construction; face recognition; partial occlusion; registration consistency; robust ear recognition; robust registration algorithm; Ear; Face recognition; Fitting; Humans; Intersymbol interference; Noise robustness; Noise shaping; Shape; Surgery; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location :
San Francisco, CA
ISSN :
1063-6919
Print_ISBN :
978-1-4244-6984-0
Type :
conf
DOI :
10.1109/CVPR.2010.5539968
Filename :
5539968
Link To Document :
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