| dc.contributor.author | Ramalingam, Sooda | |
| dc.date.accessioned | 2019-12-13T01:03:36Z | |
| dc.date.available | 2019-12-13T01:03:36Z | |
| dc.date.issued | 2014-01-27 | |
| dc.identifier.citation | Ramalingam , S 2014 , ' 3D Face Recognition : Benchmarking with Directional Signature ' , IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications & Reviews . https://doi.org/10.1109/SMC.2013.750 | |
| dc.identifier.other | PURE: 1179258 | |
| dc.identifier.other | PURE UUID: 5c583178-9c32-4edc-ab12-06e203592995 | |
| dc.identifier.uri | http://hdl.handle.net/2299/21987 | |
| dc.description | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
| dc.description.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. | en |
| dc.format.extent | 7 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications & Reviews | |
| dc.title | 3D Face Recognition : Benchmarking with Directional Signature | en |
| dc.contributor.institution | School of Engineering and Technology | |
| dc.contributor.institution | Science & Technology Research Institute | |
| dc.contributor.institution | Digital Media Processing and Biometrics | |
| dc.contributor.institution | Centre for Engineering Research | |
| dc.contributor.institution | Smart Electronics Devices and Networks | |
| dc.description.status | Peer reviewed | |
| rioxxterms.version | AM | |
| rioxxterms.versionofrecord | https://doi.org/10.1109/SMC.2013.750 | |
| rioxxterms.type | Journal Article/Review | |
