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

Xingjie Wei, Chang Tsun Li

Research output: Book chapter/Published conference paperConference paperpeer-review

12 Citations (Scopus)
5 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages70-75
Number of pages6
ISBN (Print)9780769549903
DOIs
Publication statusPublished - 2013
Event26th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2013 - Oregon Convention Center, Portland, United States
Duration: 23 Jun 201328 Jun 2013

Conference

Conference26th IEEE Conference on Computer Vision and Pattern Recognition
CountryUnited States
CityPortland
Period23/06/1328/06/13

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