Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43347
Title: Human face modeling by fitting a 3D anatomy-based model using dynamic deformable meshes
Authors: Zhang, Y. 
Sim, T. 
Tan, C.L. 
Keywords: Dynamic Deformable Meshes
Face Modeling
Physically-based Adaptation
Issue Date: 2004
Source: Zhang, Y.,Sim, T.,Tan, C.L. (2004). Human face modeling by fitting a 3D anatomy-based model using dynamic deformable meshes. Proceedings of the Seventh IASTED International Conference on Computer Graphics and Imaging : 7-12. ScholarBank@NUS Repository.
Abstract: This paper presents a new adaptation-based method for reconstructing animatable human facial models from incomplete scan data with minimum user intervention. An anatomy-based generic control model serves as the starting point for our reconstruction algorithm. A global alignment automatically adapts the position, size, and orientation of the generic model to align it with the scan data based on the measurements between a set of sparse anthropometric landmarks. In the subsequent physically-based face shape adaptation, the generic model is represented as a dynamic deformable mesh which subjects to internal force stemming from the elastic properties of the surface and external forces generated by input data points and features. The adaptation is governed by equations of motion which are it-eratively simulated to recover personalized face shape. The reconstructed 3D face resembles the shape of the individual and can be animated to synthesize various facial expressions with transferred virtual muscles.
Source Title: Proceedings of the Seventh IASTED International Conference on Computer Graphics and Imaging
URI: http://scholarbank.nus.edu.sg/handle/10635/43347
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