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.
|Title of host publication||Procs IEEE Int Conf on Systems, Man and Cybernetics 2013|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|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||IEEE International Conference on Systems Man and Cybernetics, IEEE SMC 2013|
|Period||13/10/13 → 16/10/13|