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dc.contributor.authorZhang, Xiaozheng
dc.contributor.authorGao, Yongsheng
dc.date.accessioned2017-05-03T14:13:05Z
dc.date.available2017-05-03T14:13:05Z
dc.date.issued2012
dc.date.modified2013-06-03T03:58:40Z
dc.identifier.issn1556-6013
dc.identifier.doi10.1109/TIFS.2011.2170068
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEE Signal Processing Society
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom506
dc.relation.ispartofpageto517
dc.relation.ispartofissue2
dc.relation.ispartofjournalIEEE Transactions on Information Forensics and Security
dc.relation.ispartofvolume7
dc.rights.retentionY
dc.subject.fieldofresearchPattern Recognition and Data Mining
dc.subject.fieldofresearchComputer Vision
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode080109
dc.subject.fieldofresearchcode080104
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode09
dc.titleHeterogeneous Specular and Diffuse 3-D Surface Approximation for Face Recognition Across Pose
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.date.issued2012
gro.hasfulltextNo Full Text
gro.griffith.authorGao, Yongsheng
gro.griffith.authorZhang, Paul


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