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

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Original languageEnglish
Title of host publicationProcs IEEE Int Conf on Systems, Man and Cybernetics 2013
PublisherIEEE
Pages4397-4402
ISBN (Print)978-0-7695-5154-8
DOIs
Publication statusPublished - 14 Oct 2013
EventIEEE International Conference on Systems Man and Cybernetics, IEEE SMC 2013 - Manchester, United Kingdom
Duration: 13 Oct 201316 Oct 2013

Conference

ConferenceIEEE International Conference on Systems Man and Cybernetics, IEEE SMC 2013
CountryUnited Kingdom
CityManchester
Period13/10/1316/10/13

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.

ID: 2684683