Show simple item record

dc.contributor.convenorMurk Bottema (General Chair)en_AU
dc.contributor.authorZhang, Paulen_US
dc.contributor.authorZhao, Sanqiangen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorMurk Bottema (General Chair)en_US
dc.date.accessioned2017-05-03T14:34:28Z
dc.date.available2017-05-03T14:34:28Z
dc.date.issued2007en_US
dc.date.modified2008-05-27T06:26:21Z
dc.identifier.doi10.1109/DICTA.2007.4426825en_AU
dc.identifier.urihttp://hdl.handle.net/10072/17889
dc.description.abstractThe 3D scanning of human faces is an important tool to acquire accurate shape and texture information of heads and faces for both animation and recognition purposes. One of the most popular scanning tools is Cyberware head and face 3D colour scanner. Currently, 3D face databases scanned using the Cyberware head and face 3D colour scanner databases are public available and have been used in many face recognition system as the training data, one of which is USF human ID 3-D database. The mechanism of facial texture capturing, however, remains unclear due to the special settings of the light sources during scanning. The direct application of the acquired texture intensity as the albedo of the face surfaces leads to suboptimal modelling results. This paper analyses the lighting configuration of the scanner and proposes an appropriate reflectance model to describe the reflecting mechanism when scanning. The texture modifications can be carried on in the existing scanning results without any further scans. Experiment results show that the proposed reflectance model can better approximate the reflecting situation of scanning so that the acquired textures can be directly used as diffuse reflectance coefficients and achieve better rendering results.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent736974 bytes
dc.format.extent17444 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUSAen_US
dc.publisher.urihttp://www.ieee.org/en_AU
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencenameAustralian Conference on Digital Image Computing: Techniques and Applications (DICTA)en_US
dc.relation.ispartofconferencetitleDigital Image Computing Techniques and Applicationsen_US
dc.relation.ispartofdatefrom2007-12-03en_US
dc.relation.ispartofdateto2007-12-05en_US
dc.relation.ispartoflocationAdelaideen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280208en_US
dc.titleLighting Analysis and Texture Modification of 3D Human Face Scansen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


Files in this item

This item appears in the following Collection(s)

  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

Show simple item record