Abstract
In this paper, the author presents a work on i) range data and ii) stereo-vision system based disparity map profiling that are used as signatures for 3D face recognition. The signatures capture the intensity variations along a line at sample points on a face in any particular direction. The directional signatures and some of their combinations are compared to study the variability in recognition performances. Two 3D face image datasets namely, a local student database captured with a stereo vision system and the FRGC v1 range dataset are used for performance evaluation.
Original language | English |
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Title of host publication | Procs IEEE Int Conf on Systems, Man and Cybernetics 2013 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 4397-4402 |
ISBN (Print) | 978-0-7695-5154-8 |
DOIs | |
Publication status | Published - 14 Oct 2013 |
Event | IEEE International Conference on Systems Man and Cybernetics, IEEE SMC 2013 - Manchester, United Kingdom Duration: 13 Oct 2013 → 16 Oct 2013 |
Conference
Conference | IEEE International Conference on Systems Man and Cybernetics, IEEE SMC 2013 |
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Country/Territory | United Kingdom |
City | Manchester |
Period | 13/10/13 → 16/10/13 |