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Fixation and saccade based face recognition from single image per person with various occlusions and expressions
Face recognition technique is widely used in the real-world 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.
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Event
IEEE Computer Society. Conference (2013 : Portland, Or.)Series
IEEE Computer Society ConferencePagination
70 - 75Publisher
IEEELocation
Portland, Or.Place of publication
Piscataway, N.J.Publisher DOI
Start date
2013-06-23End date
2013-06-28ISSN
2160-7508eISSN
2160-7516ISBN-13
9780769549903Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
CVPRW 2013 : Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition WorkshopsUsage metrics
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