University of Hertfordshire

By the same authors

3D Face Recognition: Feature Extraction Based on Directional Signatures from Range Data and Disparity Maps

Research output: Chapter in Book/Report/Conference proceedingConference contribution


View graph of relations
Original languageEnglish
Title of host publication2013 IEEE International Conference on Systems, Man, and Cybernetics
Number of pages6
ISBN (Electronic)9781479906529
Publication statusE-pub ahead of print - 27 Jan 2014


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.

ID: 17214378