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Unformatted text preview: A Morphable Model For The Synthesis Of 3D Faces Volker Blanz Thomas Vetter Max-Planck-Institut f¨ur biologische Kybernetik, T¨ubingen, Germany Abstract In this paper, a new technique for modeling textured 3D faces is introduced. 3D faces can either be generated automatically from one or more photographs, or modeled directly through an intuitive user interface. Users are assisted in two key problems of computer aided face modeling. First, new face images or new 3D face mod- els can be registered automatically by computing dense one-to-one correspondence to an internal face model. Second, the approach regulates the naturalness of modeled faces avoiding faces with an “unlikely” appearance. Starting from an example set of 3D face models, we derive a morphable face model by transforming the shape and texture of the examples into a vector space representation. New faces and expres- sions can be modeled by forming linear combinations of the proto- types. Shape and texture constraints derived from the statistics of our example faces are used to guide manual modeling or automated matching algorithms. We show 3D face reconstructions from single images and their applications for photo-realistic image manipulations. We also demonstrate face manipulations according to complex parameters such as gender, fullness of a face or its distinctiveness. Keywords: facial modeling, registration, photogrammetry, mor- phing, facial animation, computer vision 1 Introduction Computer aided modeling of human faces still requires a great deal of expertise and manual control to avoid unrealistic, non-face-like results. Most limitations of automated techniques for face synthe- sis, face animation or for general changes in the appearance of an individual face can be described either as the problem of finding corresponding feature locations in different faces or as the problem of separating realistic faces from faces that could never appear in the real world. The correspondence problem is crucial for all mor- phing techniques, both for the application of motion-capture data to pictures or 3D face models, and for most 3D face reconstruction techniques from images. A limited number of labeled feature points marked in one face, e.g., the tip of the nose, the eye corner and less prominent points on the cheek, must be located precisely in another face. The number of manually labeled feature points varies from MPI f¨ur biol. Kybernetik, Spemannstr. 38, 72076 T¨ubingen, Germany. E-mail: volker.blanz, thomas.vetter @tuebingen.mpg.de Modeler Morphable Face Model Face Analyzer 3D Database 2D Input 3D Output Figure 1: Derived from a dataset of prototypical 3D scans of faces, the morphable face model contributes to two main steps in face manipulation: (1) deriving a 3D face model from a novel image, and (2) modifying shape and texture in a natural way....
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This note was uploaded on 06/13/2011 for the course CAP 6412 taught by Professor Staff during the Spring '08 term at University of Central Florida.
- Spring '08
- The Land