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  Face reconstruction using a small set of feature points

Hwang, B., Blanz, V., Vetter, T., & Lee, S. (2000). Face reconstruction using a small set of feature points. In Biologically Motivated Computer Vision (pp. 311-317). Berlin, Germany: Springer.

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 Creators:
Hwang, BW1, Author           
Blanz, V1, Author           
Vetter, T1, Author           
Lee, SW, Author
Lee, Editor
S.-W., Editor
Bülthoff, H.H., Editor
Poggio, T., Editor
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of shape and texture information. With the shape and texture information at the feature points alone, we can achieve only an approximation to the deformation required. In such an under-determined condition, we find an optimal solution using a simple least square minimization method. As experimental results, we show well-reconstructed 2D faces even from a small number of feature points.

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 Dates: 2000-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 3-540-45482-9
URI: http://www.springerlink.com/content/xupw3way0xvn73b0/fulltext.pdf
DOI: 10.1007/3-540-45482-9_30
BibTex Citekey: 168
 Degree: -

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Title: IEEE International Workshop on Biologically Motivated Computer Vision (BMCV 2000)
Place of Event: Seoul, South Korea
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Title: Biologically Motivated Computer Vision
Source Genre: Proceedings
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Affiliations:
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 311 - 317 Identifier: -