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dc.contributor.authorLi, Huibin
dc.contributor.authorMorvan, Jean-Marie
dc.contributor.authorChen, Liming
dc.date.accessioned2015-08-04T06:24:15Z
dc.date.available2015-08-04T06:24:15Z
dc.date.issued2011
dc.identifier.isbn9783642236860
dc.identifier.issn03029743
dc.identifier.doi10.1007/978-3-642-23687-7_44
dc.identifier.urihttp://hdl.handle.net/10754/564341
dc.description.abstract3D face models accurately capture facial surfaces, making it possible for precise description of facial activities. In this paper, we present a novel mesh-based method for 3D facial expression recognition using two local shape descriptors. To characterize shape information of the local neighborhood of facial landmarks, we calculate the weighted statistical distributions of surface differential quantities, including histogram of mesh gradient (HoG) and histogram of shape index (HoS). Normal cycle theory based curvature estimation method is employed on 3D face models along with the common cubic fitting curvature estimation method for the purpose of comparison. Based on the basic fact that different expressions involve different local shape deformations, the SVM classifier with both linear and RBF kernels outperforms the state of the art results on the subset of the BU-3DFE database with the same experimental setting. © 2011 Springer-Verlag.
dc.publisherSpringer Nature
dc.subject3D facial expression recognition
dc.subjectcurvature tensor
dc.subjecthistogram of surface differential quantities
dc.subjectnormal cycle theory
dc.subjectSVM classifier
dc.title3D facial expression recognition based on histograms of surface differential quantities
dc.typeConference Paper
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalAdvanced Concepts for Intelligent Vision Systems
dc.conference.date22 August 2011 through 25 August 2011
dc.conference.name13th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2011
dc.conference.locationGhent
dc.contributor.institutionUniversité de Lyon, CNRS, F-69134, Lyon, France
dc.contributor.institutionEcole Centrale de Lyon, LIRIS UMR5205, F-69134, Lyon, France
dc.contributor.institutionUniversité Lyon 1, Institut Camille Jordan, 43 blvd du 11 Novembre 1918, F-69622 Villeurbanne - Cedex, France
kaust.personMorvan, Jean-Marie


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