Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/117239
Title: Data-driven facial feature morphing for 3D face synthesis
Authors: Zhang, Y. 
Issue Date: 2006
Citation: Zhang, Y. (2006). Data-driven facial feature morphing for 3D face synthesis. 4th Eurographics Italian Chapter Conference 2006 - Proceedings : 91-97. ScholarBank@NUS Repository.
Abstract: This paper presents a data-driven method for synthesizing new realistic 3D human faces by morphing a set of facial features. The method takes as examples 3D scanned human face models in order to exploit the shape variations presented in the real faces of individuals. We automatically compute a vertex-to-vertex correspondence between the unregistered face scans by deforming a generic mesh to fit the specific person's face geometry in a global-to-local fashion. Exploiting the statistics of the generated datasets of feature shapes we transform them into vector space representations by applying a principal component analysis (PCA). Our feature shape morphing model is formed as a linear combination of the main modes of feature shape variations. We introduce a shape smoothing and blending method for generating a seamlessly deformed mesh around the feature borders. We demonstrate our method by combining 3D morphing of four features to generate a wide range of different face shapes. © 2006 The Eurographics Association.
Source Title: 4th Eurographics Italian Chapter Conference 2006 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/117239
ISBN: 3905673584
Appears in Collections:Staff Publications

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