RGB-D Face Recognition System Verification Using Kinect and FRAV3D Databases | Zendy

Poornima Krishnan | Zendy; S. Naveen | Zendy

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RGB-D Face Recognition System Verification Using Kinect and FRAV3D Databases

Author(s) -

Poornima Krishnan,

S. Naveen

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.02.102

Subject(s) - computer science , rgb color model , artificial intelligence , facial recognition system , pattern recognition (psychology) , classifier (uml) , face (sociological concept) , feature (linguistics) , database , computer vision , linguistics , philosophy , social science , sociology

This paper deals with a facial recognition system and its verification using the RGB-D data obtained from the Kinect and FRAV3D database. The FRAV3D database contains 106 subjects, which involves approximately one woman after every three men. The Kinect database has17 images per 31 persons.The proposed algorithm computes a descriptor based on the entropy of RGB-D faces along with the saliency feature obtained from a 2D face which is used as input to a tree bagger classifier to establish the identity

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