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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/114924...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
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A Model-Based Method for Face Shape Recovery

Authors: William A. P. Smith; Edwin R. Hancock;

A Model-Based Method for Face Shape Recovery

Abstract

In this paper we describe a model-based method for recovering the 3D shape of faces using shape-from-shading. Using range-data, we learn a statistical model of the variation in surface normal direction for faces. This model uses the azimuthal equidistant projection to represent the distribution of surface normal directions. We fit the model to intensity data using constraints on the surface normal direction provided by Lambert's law. We illustrate the effectiveness of the method on real-world image data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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