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dc.contributor.authorGao, Yongshengen_US
dc.contributor.authorZhang, Paulen_US
dc.date.accessioned2017-04-04T19:03:41Z
dc.date.available2017-04-04T19:03:41Z
dc.date.issued2012en_US
dc.date.modified2013-06-03T03:58:40Z
dc.identifier.issn15566013en_US
dc.identifier.doi10.1109/TIFS.2011.2170068en_US
dc.identifier.urihttp://hdl.handle.net/10072/47081
dc.description.abstractThis paper proposes a novel heterogeneous specular and diffuse (HSD) 3-D surface approximation which considers spatial variability of specular and diffuse reflections in face modelling and recognition. Traditional 3-D face modelling and recognition methods constrain human faces with either the Lambertian assumption or the homogeneity assumption, resulting in suboptimal shape and texture models. The proposed HSD approach allows both specular and diffuse reflectance coefficients to vary spatially to better accommodate surface properties of real human faces. From a small number of face images of a person under different lighting conditions, 3-D shape and surface reflectivity property are estimated using a localized stochastic optimization method. The resultant personalized 3-D face model is used to render novel gallery views under different poses for recognition across pose. The proposed approach is evaluated on both synthetic and real face datasets and benchmarked against the state-of-the-art approaches. Experimental results demonstrated that it can achieve a higher level of performances in modelling accuracy, algorithm reliability, and recognition accuracy, which suggests that face modelling and recognition beyond the Lambertian and homogeneity assumptions is a feasible and better solution towards pose-invariant face recognition.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherIEEE Signal Processing Societyen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom506en_US
dc.relation.ispartofpageto517en_US
dc.relation.ispartofissue2en_US
dc.relation.ispartofjournalIEEE Transactions on Information Forensics and Securityen_US
dc.relation.ispartofvolume7en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchComputer Visionen_US
dc.subject.fieldofresearchcode080109en_US
dc.subject.fieldofresearchcode080104en_US
dc.titleHeterogeneous Specular and Diffuse 3-D Surface Approximation for Face Recognition Across Poseen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2012
gro.hasfulltextNo Full Text


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