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This paper presents a novel method for generating varied, realistic geometric face models by synthesizing facial features according to anthropometric parameters. Our method takes as examples scanned 3D face models in order to exploit the parameter-to-geometry correlations that are presented in the real faces. A two-step model fitting approach is used to establish correspondences among scanned models...
This paper presents a novel data-driven method for creating varied realistic face models by synthesizing a set of facial features according to intuitive high-level control parameters. Our method takes as examples 3D face scans in order to exploit the variations presented in the real faces of individuals. We use an automatic model fitting approach for the 3D registration problem. Once we have a common...
This paper presents an automatic runtime system for generating varied realistic geometric models of human faces based on morphing of facial features. Our method takes as examples 3D scanned human face models in order to exploit the parameter-to-geometry correlations that are presented in the real faces. In order to establish correspondence among models, we use a two-step model fitting approach to...
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