Silhouette-Based 3D Face Shape Recovery

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Silhouette-Based 3D Face Shape Recovery

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Title: Silhouette-Based 3D Face Shape Recovery
Author: Lee, Jinho; Moghaddam, Baback; Pfister, Hanspeter; Machiraju, Raghu

Note: Order does not necessarily reflect citation order of authors.

Citation: Lee, Jinho, Baback Moghaddam, Hanspeter Pfister, and Raghu Machiraju. 2003. Silhouette-based 3D face shape recovery. In Proceedings: Graphics Interface 2003: June 11-13, 2003, Halifax, Nova Scotia, ed. T. Möller, and C. Ware, 21-30. Natick, M.A.: A K Peters.
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Abstract: The creation of realistic 3D face models is still a fundamental problem in computer graphics. In this paper we present a novel method to obtain the 3D shape of an arbitrary human face using a sequence of silhouette images as input. Our face model is a linear combination of eigenheads, which are obtained by a Principal Component Analysis (PCA) of laser-scanned 3D human faces. The coefficients of this linear decomposition are used as our model parameters. We introduce a near-automatic method for reconstructing a 3D face model whose silhouette images match closest to the set of input silhouettes.
Published Version: http://www.graphicsinterface.org/
Other Sources: http://gvi.seas.harvard.edu/sites/all/files/gi2003_0.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4141477

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  • FAS Scholarly Articles [6466]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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