Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43183
Title: Rapid modeling of 3D faces for animation using an efficient adaptation algorithm
Authors: Zhang, Y. 
Sim, T. 
Tan, C.L. 
Keywords: Adaptation algorithm
Facial animation
Generic control model
Personalized face modeling
Range scans
Issue Date: 2004
Source: Zhang, 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.
Abstract: This 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.
Source Title: Proceedings GRAPHITE 2004 - 2nd International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia
URI: http://scholarbank.nus.edu.sg/handle/10635/43183
ISBN: 1581138849
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

65
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.