Face Reconstruction from a Small Number of Feature Points

Hwang, BW; Blanz, V; Vetter, T; Lee, SW

doi:10.1109/ICPR.2000.906205

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Face Reconstruction from a Small Number of Feature Points

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Blanz, V
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Vetter, T
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Hwang, B., Blanz, V., Vetter, T., & Lee, S. (2000). Face Reconstruction from a Small Number of Feature Points. In 15th International Conference on Pattern Recognition: ICPR-2000 (pp. 842-845). Los Alamitos, CA, USA: IEEE Computer Society.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-E461-9

Abstract

This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of shape and texture information. With the shape and future information at the feature points alone, we can achieve only an approximation to the deformation required. In such an underdetermined condition, we find an optimal solution using a simple least square minimization method. As experimental results, we show well-reconstructed 2D faces even from a small number of feature points.