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dc.contributor.authorLi, Huibin
dc.contributor.authorHuang, Di
dc.contributor.authorChen, Liming
dc.contributor.authorWang, Yunhong
dc.contributor.authorMorvan, Jean-Marie
dc.date.accessioned2015-08-04T07:04:55Z
dc.date.available2015-08-04T07:04:55Z
dc.date.issued2012-09
dc.identifier.citationLi, H., Huang, D., Chen, L., Wang, Y., & Morvan, J.-M. (2012). A group of facial normal descriptors for recognizing 3D identical twins. 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS). doi:10.1109/btas.2012.6374588
dc.identifier.isbn9781467313841
dc.identifier.doi10.1109/BTAS.2012.6374588
dc.identifier.urihttp://hdl.handle.net/10754/564603
dc.description.abstractIn this paper, to characterize and distinguish identical twins, three popular texture descriptors: i.e. local binary patterns (LBPs), gabor filters (GFs) and local gabor binary patterns (LGBPs) are employed to encode the normal components (x, y and z) of the 3D facial surfaces of identical twins respectively. A group of facial normal descriptors are thus achieved, including Normal Local Binary Patterns descriptor (N-LBPs), Normal Gabor Filters descriptor (N-GFs) and Normal Local Gabor Binary Patterns descriptor (N-LGBPs). All these normal encoding based descriptors are further fed into sparse representation classifier (SRC) for identification. Experimental results on the 3D TEC database demonstrate that these proposed normal encoding based descriptors are very discriminative and efficient, achieving comparable performance to the best of state-of-the-art algorithms. © 2012 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleA group of facial normal descriptors for recognizing 3D identical twins
dc.typeConference Paper
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journal2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
dc.conference.date23 September 2012 through 27 September 2012
dc.conference.name2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012
dc.conference.locationArlington, VA
dc.contributor.institutionUniversité de Lyon, CNRS, F-69134, Lyon, France
dc.contributor.institutionEcole Centrale Lyon, LIRIS UMR5205, F-69134, Lyon, France
dc.contributor.institutionIRIP, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China
dc.contributor.institutionUniversité de Lyon, ICJ, 43 blvd du 11 Novembre 1918, F-69622 Villeurbanne-Cedex, France
kaust.personMorvan, Jean-Marie


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