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Face Reconstruction from Skull Shapes and Physical Attributes

Paysan, Pascal and Lüthi, Marcel and Albrecht, Thomas and Lerch, Anita and Amberg, Brian and Santini, Francesco and Vetter, Thomas. (2009) Face Reconstruction from Skull Shapes and Physical Attributes. In: Pattern Recognition : 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings. Berlin, Heidelberg, pp. 261-270.

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Official URL: http://edoc.unibas.ch/dok/A5253831

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Abstract

Reconstructing a person’s face from its skeletal remains is a task thathas over many decades fascinated artist and scientist alike. In this paper we treatfacial reconstruction as a machine learning problem. We use separate statisticalshape models to represent the skull and face morphology. We learn the relationshipbetween the parameters of the models by fitting them to a set of MR imagesof the head and using ridge regression on the resulting model parameters. Sincethe facial shape is not uniquely defined by the skull shape, we allow to specifytarget attributes, such as age or weight. Our experiments show that the reconstructionresults are generally close to the original face, and that by specifyingthe right attributes the perceptual and measured difference between the originaland the predicted face is reduced.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Computergraphik Bilderkennung (Vetter)
UniBasel Contributors:Vetter, Thomas and Albrecht, Thomas and Paysan, Pascal and Lerch, Anita AL
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:Springer Berlin Heidelberg
ISBN:978-3-642-03798-6 ; 978-3-642-03797-9
Series Name:Lecture Notes in Computer Science
Issue Number:5748
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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