NDLI: Multi-scale score level fusion of local descriptors for gender classification in the wild

Content Provider	Springer Nature Link
Author	Castrillón Santana, M. Lorenzo Navarro, J. Ramón Balmaseda, E.
Copyright Year	2016
Abstract	The 2015 FRVT gender classification (GC) report evidences the problems that current approaches tackle in situations with large variations in pose, illumination, background and facial expression. The report suggests that both commercial and research solutions are hardly able to reach an accuracy over 90 % for The Images of Groups dataset, a proven scenario exhibiting unrestricted or in the wild conditions. In this paper, we focus on this challenging dataset, stepping forward in GC performance by observing: 1) recent literature results combining multiple local descriptors, and 2) the psychophysics evidences of the greater importance of the ocular and mouth areas to solve this task. We therefore make use of holistic and inner facial patches to extract features, that are later combined via a score level fusion strategy. The achieved results support the main information provided by the ocular and the mouth areas. Indeed, the combination of multiscale extracted features increases the overall accuracy to over 94 %, reducing notoriously the classification error if compared with tuned holistic and deep learning approaches.
Starting Page	4695
Ending Page	4711
Page Count	17
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	76
Issue Number	4
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2016-06-28
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Soft biometrics Gender classification Local descriptors Score level fusion CNN Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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