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Fixation and saccade based face recognition from single image per person with various occlusions and expressions

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Wei, Xingjie and Li, Chang-Tsun (2013) Fixation and saccade based face recognition from single image per person with various occlusions and expressions. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW'13), Portland, USA, 23-28 June 2013. Published in: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW'13) pp. 70-75. doi:10.1109/CVPRW.2013.18

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Official URL: http://dx.doi.org/10.1109/CVPRW.2013.18

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Abstract

Face recognition technique is widely used in the realworld applications over the past decade. Different from other biometric traits such as fingerprint and iris, face is the biological nature for humans to recognise a person even met just once. In this paper, we propose a novel method,
which simulates the mechanism of fixations and saccades in human visual perception, to handle the face recognition from single image per person problem. Our method is robust to the local deformations of the face (i.e.,expression changes and occlusions). Especially for the occlusion related problems, which have not received enough attentions compared with other challenging variations of illumination, expression and pose, our method significantly outperforms the state-of-the-art approaches despite various types of occlusions. Experimental results on the FRGC and the AR databases confirm the effectiveness of our method.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Journal or Publication Title: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW'13)
Publisher: IEEE
Official Date: 2013
Dates:
DateEvent
2013Published
Page Range: pp. 70-75
DOI: 10.1109/CVPRW.2013.18
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW'13)
Type of Event: Workshop
Location of Event: Portland, USA
Date(s) of Event: 23-28 June 2013

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