Human Face Modeling by Fitting a 3D Anatomy-based Model using Dynamic Deformable Meshes

Y. Zhang, T. Sim, and C.L. Tan (Singapore)


Face Modeling, Physically-based Adaptation, Dynamic Deformable Meshes


This paper presents a new adaptation-based method for reconstructing animatable human facial models from in complete 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 stem ming from the elastic properties of the surface and exter nal 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 individ ual and can be animated to synthesize various facial expres sions with transferred virtual muscles.

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