Random Forests for Real Time 3D Face Analysis

We present a random forest-based framework for real time head pose estimation from depth images and extend it to localize a set of facial features in 3D. Our algorithm takes a voting approach, where each patch extracted from the depth image can directly cast a vote for the head pose or each of the f...

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Veröffentlicht in:	International journal of computer vision Jg. 101; H. 3; S. 437 - 458
Hauptverfasser:	Fanelli, Gabriele, Dantone, Matthias, Gall, Juergen, Fossati, Andrea, Van Gool, Luc
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.02.2013 Springer Springer Nature B.V
Schlagworte:	3-D graphics Algorithms Analysis Artificial Intelligence Computer graphics Computer Imaging Computer Science Computer vision Datasets Face Facial Forests Forests and forestry Image Processing and Computer Vision Image processing systems International Localization Mathematical functions Pattern Recognition Pattern Recognition and Graphics Real time Sensors Studies Three dimensional Vision Voting United Kingdom > UK Real time Head pose estimation 3D facial features detection Random forests
ISSN:	0920-5691, 1573-1405
Online-Zugang:	Volltext
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