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Conference Paper

3D-reconstruction of faces: Combining stereo with class-based knowledge

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Wallraven,  C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Blanz,  V
Department Human Perception, Cognition and Action, 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;

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Citation

Wallraven, C., Blanz, V., & Vetter, T. (1999). 3D-reconstruction of faces: Combining stereo with class-based knowledge. DAGM 1999, 405-412.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-E65B-9
Abstract
The recovery of the threedimensional structure of faces with conventional stereo methods still proves difficult. In this paper we introduce a higher order constraint based on linear object classes, which supplies a standard stereo algorithm with prior knowledge of the general structure of faces. This constraint has been learned by exploiting the similarities between 200 faces in a database and is represented in a morphable face model. This combined approach has been tested and compared against an already existing method for estimating depth information using only prior knowledge and against the standard stereo algorithm.