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dc.contributor.authorRamalingam, Soodamani
dc.date.accessioned2019-08-20T10:00:11Z
dc.date.available2019-08-20T10:00:11Z
dc.date.issued2014-01-27
dc.identifier.citationRamalingam , S 2014 , 3D Face Recognition: Feature Extraction Based on Directional Signatures from Range Data and Disparity Maps . in 2013 IEEE International Conference on Systems, Man, and Cybernetics . IEEE , pp. 4397-4402 . https://doi.org/10.1109/SMC.2013.750
dc.identifier.isbn9781479906529
dc.identifier.otherPURE: 17214378
dc.identifier.otherPURE UUID: ed93966b-4f5a-4159-8354-79bec3ab71fc
dc.identifier.urihttp://hdl.handle.net/2299/21601
dc.description.abstractIn 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.en
dc.format.extent6
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2013 IEEE International Conference on Systems, Man, and Cybernetics
dc.title3D Face Recognition: Feature Extraction Based on Directional Signatures from Range Data and Disparity Mapsen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSmart Electronics Devices and Networks
dc.contributor.institutionDigital Media Processing and Biometrics
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/SMC.2013.750
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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