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Abstract:
Morphable models have proven to be very successful for analyzing and synthesizing 2D and 3D recordings of faces. They are used extensively in computer vision, computer graphics as well as in psychology research. The growing interest in extending this work from static to dynamic faces [Curio et al. 2010] has led us to build a large database of three-dimensional facial deformation data. In comparison to other databases, this database contains a large corpus of facial deformations that were carefully put into dense correspondence. From that we can obtain generative facial expression models to build a "4D Morphable Face Model", extending previous work for identity [Blanz and Vetter 1999].