Weight, Sex, and Facial Expressions : on the Manipulation of Attributes in Generative 3D Face Models

Amberg, Brian and Paysan, Pascal and Vetter, Thomas. (2009) Weight, Sex, and Facial Expressions : on the Manipulation of Attributes in Generative 3D Face Models. In: Advances in Visual Computing : 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009, Proceedings, Part I. Berlin, pp. 875-885.

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Official URL: http://edoc.unibas.ch/dok/A5253826

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Generative 3D Face Models are expressive models with applicationsin modelling and editing. They are learned from example faces, and offer a compactrepresentation of the continuous space of faces. While they have proven tobe useful as strong priors in face reconstruction they remain to be difficult to usein artistic editing tasks. We describe a way to navigate face space by changingmeaningful parameters learned from the training data. This makes it possible tofix attributes such as height, weight, age, expression or ‘lack of sleep’ while lettingthe infinity of unfixed other attributes vary in a statistically meaningful way.We propose an inverse approach based on learning the distribution of faces inattribute space. Given a set of target attributes we then find the face which has thetarget attributes with high probability, and is as similar as possible to the inputface.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Ehemalige Einheiten Mathematik & Informatik > Computergraphik Bilderkennung (Vetter)
UniBasel Contributors:Vetter, Thomas and Amberg, Brian and Paysan, Pascal
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
ISBN:978-3-642-10331-5 ; 978-3-642-10330-8
Series Name:Lecture Notes in Computer Science
Issue Number:5875
Note:Publication type according to Uni Basel Research Database: Conference paper
Identification Number:
Last Modified:22 Mar 2012 14:27
Deposited On:22 Mar 2012 13:57

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