Paper Info
Title
Fixation and Saccade Based Face Recognition from Single Image per Person with Various Occlusions and Expressions
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.
Year
DOI
Venue
2013
10.1109/CVPRW.2013.18
CVPR Workshops
Keywords
Field
DocType
fingerprint,novel method,face recognition,fixation based face recognition,biometric trait,occlusions,computer graphics,expressions,fixation,person problem,expression change,saccade based face recognition,face,saccade,expression,frgc,single image,biometrics,biometric traits,face recognition technique,various occlusions,ar databases,challenging variation,iris,occlusion,biological nature,human visual perception,databases,time complexity
Computer vision,Facial recognition system,Fixation (psychology),Three-dimensional face recognition,Pattern recognition,Expression (mathematics),Computer science,Fingerprint,Artificial intelligence,Face detection,Biometrics,Saccade
Conference
Volume
Issue
ISSN
2013
1
2160-7508
Citations 
PageRank 
References 
8
0.44
26
Authors
2
Name
Order
Citations
PageRank
Xingjie Wei180.44
Chang-Tsun Li2245.11