Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43218
Title: Reanimating real humans: Automatic reconstruction of animated faces from range data
Authors: Zhang, Y. 
Sim, T. 
Tan, C.L. 
Issue Date: 2004
Source: Zhang, Y.,Sim, T.,Tan, C.L. (2004). Reanimating real humans: Automatic reconstruction of animated faces from range data. 2004 IEEE International Conference on Multimedia and Expo (ICME) 1 : 395-398. ScholarBank@NUS Repository.
Abstract: Advances in 3D scanning technology have enabled automatic capture of complex 3D models such as human faces with highly detailed surfaces. However, the range data can not be used easily for animatable face modeling due to absence of functional animation structure and dense surface data. This paper presents an automatic facial model adaptation algorithm for reconstruction of animatable individualized 3D facial models from range data. A generic model that represents both the face shape and anatomical structure serves as the starting point for the adaptation algorithm. The global adaptation transforms the generic model to align it with the scan data in the 3D space based the measurements between a set of 3D landmarks. The local adaptation then deforms the skin mesh of the generic model to fit all of its vertices to the scan surface. The underlying muscle structure is automatically adapted and facial texture is transferred. The reconstructed 3D face resembles the shape and col or of real individual and can be animated immediately with the muscle parameters.
Source Title: 2004 IEEE International Conference on Multimedia and Expo (ICME)
URI: http://scholarbank.nus.edu.sg/handle/10635/43218
ISBN: 0780386035
Appears in Collections:Staff Publications

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