Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/43183
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dc.titleRapid modeling of 3D faces for animation using an efficient adaptation algorithm
dc.contributor.authorZhang, Y.
dc.contributor.authorSim, T.
dc.contributor.authorTan, C.L.
dc.date.accessioned2013-07-23T09:27:15Z
dc.date.available2013-07-23T09:27:15Z
dc.date.issued2004
dc.identifier.citationZhang, Y.,Sim, T.,Tan, C.L. (2004). Rapid modeling of 3D faces for animation using an efficient adaptation algorithm. Proceedings GRAPHITE 2004 - 2nd International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia : 173-181. ScholarBank@NUS Repository.
dc.identifier.isbn1581138849
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43183
dc.description.abstractThis paper presents a new efficient method for the reconstruction of a personalized 3D facial model for animation from range data. Our method adapts a generic control model with anatomical structure to the geometry of a specific person's face with minimum manual intervention. The face adaptation algorithm starts with the specification of a small set of anthropometric landmarks on the 2D images of both the generic control model and individual face. 3D positions of landmarks are recovered automatically by using a projection-mapping approach. A global adaptation is then carried out to adapt the size, position and orientation of the generic model in the 3D space based on a series of measurements between the recovered 3D landmarks. After the global adaptation, a local adaptation deforms the generic model to fit all of its vertices to the scan data-set. The underlying muscle structure is automatically adapted as well, such that the reconstructed model not only resembles the individual face in shape and color but also reflects the structure of human face including skin and muscles, therefore can be animated immediately with the given muscle parameters.
dc.sourceScopus
dc.subjectAdaptation algorithm
dc.subjectFacial animation
dc.subjectGeneric control model
dc.subjectPersonalized face modeling
dc.subjectRange scans
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentINSTITUTE OF ENGINEERING SCIENCE
dc.description.sourcetitleProceedings GRAPHITE 2004 - 2nd International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia
dc.description.page173-181
dc.identifier.isiutNOT_IN_WOS
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