3D Face Recognition: Feature Extraction based on Directional Signatures From Range Data and Disparity Maps

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

4 Citations (Scopus)

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 languageEnglish
Title of host publicationProcs IEEE Int Conf on Systems, Man and Cybernetics 2013
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
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
Country/TerritoryUnited Kingdom
CityManchester
Period13/10/1316/10/13

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