2.50
Hdl Handle:
http://hdl.handle.net/10547/224152
Title:
Face to face: anthropometry-based interactive face shape modeling using model priors
Authors:
Zhang, Yu; Prakash, Edmond C.
Abstract:
This paper presents a new anthropometrics-based method for generating realistic, controllable face models. Our method establishes an intuitive and efficient interface to facilitate procedures for interactive 3D face modeling and editing. It takes 3D face scans as examples in order to exploit the variations presented in the real faces of individuals. The system automatically learns a model prior from the data-sets of example meshes of facial features using principal component analysis (PCA) and uses it to regulate the naturalness of synthesized faces. For each facial feature, we compute a set of anthropometric measurements to parameterize the example meshes into a measurement space. Using PCA coefficients as a compact shape presentation, we formulate the face modeling problem in a scattered data interpolation framework which takes the user-specified nthropometric parameters as input. Solving the interpolation problem in a reduced subspace allows us to generate a natural face shape that satisfies the user-specified constraints. At runtime, the new face shape can be generated at an interactive rate. We demonstrate the utility of our method by presenting several applications, including analysis of facial features of subjects in different race groups, facial feature transfer, and adapting face models to a particular population group.
Citation:
Zhang, Y. (2009) 'Face to Face: Anthropometry-Based Interactive Face Shape Modeling Using Model Priors' International Journal of Computer Games Technology 2009:1
Publisher:
Hindawi
Journal:
International Journal of Computer Games Technology
Issue Date:
2009
URI:
http://hdl.handle.net/10547/224152
DOI:
10.1155/2009/573924
Additional Links:
http://www.hindawi.com/journals/ijcgt/2009/573924/
Type:
Article
Language:
en
ISSN:
1687-7047; 1687-7055
Appears in Collections:
Centre for Computer Graphics and Visualisation (CCGV)

Full metadata record

DC FieldValue Language
dc.contributor.authorZhang, Yuen_GB
dc.contributor.authorPrakash, Edmond C.en_GB
dc.date.accessioned2012-05-16T11:24:02Z-
dc.date.available2012-05-16T11:24:02Z-
dc.date.issued2009-
dc.identifier.citationZhang, Y. (2009) 'Face to Face: Anthropometry-Based Interactive Face Shape Modeling Using Model Priors' International Journal of Computer Games Technology 2009:1en_GB
dc.identifier.issn1687-7047-
dc.identifier.issn1687-7055-
dc.identifier.doi10.1155/2009/573924-
dc.identifier.urihttp://hdl.handle.net/10547/224152-
dc.description.abstractThis paper presents a new anthropometrics-based method for generating realistic, controllable face models. Our method establishes an intuitive and efficient interface to facilitate procedures for interactive 3D face modeling and editing. It takes 3D face scans as examples in order to exploit the variations presented in the real faces of individuals. The system automatically learns a model prior from the data-sets of example meshes of facial features using principal component analysis (PCA) and uses it to regulate the naturalness of synthesized faces. For each facial feature, we compute a set of anthropometric measurements to parameterize the example meshes into a measurement space. Using PCA coefficients as a compact shape presentation, we formulate the face modeling problem in a scattered data interpolation framework which takes the user-specified nthropometric parameters as input. Solving the interpolation problem in a reduced subspace allows us to generate a natural face shape that satisfies the user-specified constraints. At runtime, the new face shape can be generated at an interactive rate. We demonstrate the utility of our method by presenting several applications, including analysis of facial features of subjects in different race groups, facial feature transfer, and adapting face models to a particular population group.en_GB
dc.language.isoenen
dc.publisherHindawien_GB
dc.relation.urlhttp://www.hindawi.com/journals/ijcgt/2009/573924/en_GB
dc.rightsArchived with thanks to International Journal of Computer Games Technologyen_GB
dc.titleFace to face: anthropometry-based interactive face shape modeling using model priorsen
dc.typeArticleen
dc.identifier.journalInternational Journal of Computer Games Technologyen_GB
This item is licensed under a Creative Commons License
Creative Commons
All Items in UOBREP are protected by copyright, with all rights reserved, unless otherwise indicated.