Accurate 3D face modeling and recognition from RGB-D stream in the presence of large pose changes

ICIP, pp. 3011-3015, 2016.

Cited by: 5|Bibtex|Views60
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

We propose a 3D face modeling and recognition system using an RGB-D stream in the presence of large pose changes. In the previous work, all facial data points are registered with a reference to improve the accuracy of 3D face model from a low-resolution depth sequence. This registration often fails when applied to non-frontal faces. It ca...More

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