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FGR
2006
IEEE
122views Biometrics» more  FGR 2006»
14 years 1 months ago
Head and Facial Action Tracking: Comparison of Two Robust Approaches
In this work, we address a method that is able to track simultaneously 3D head movements and facial actions like lip and eyebrow movements in a video sequence. In a baseline frame...
Romain Hérault, Franck Davoine, Yves Grandv...
PAMI
2008
215views more  PAMI 2008»
13 years 7 months ago
Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study
This paper introduces a new benchmark study to evaluate the performance of landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-co...
Brent C. Munsell, Pahal Dalal, Song Wang
NIPS
2000
13 years 9 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
AMFG
2003
IEEE
168views Biometrics» more  AMFG 2003»
13 years 11 months ago
Efficient Active Appearance Model for Real-Time Head and Facial Feature Tracking
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using Active Appearance Models. The classical appearancebased tracking su...
Fadi Dornaika, Jörgen Ahlberg
CVPR
2009
IEEE
13 years 11 months ago
Automatic registration of LIDAR and optical images of urban scenes
Fusion of 3D laser radar (LIDAR) imagery and aerial optical imagery is an efficient method for constructing 3D virtual reality models. One difficult aspect of creating such models...
Andrew Mastin, Jeremy Kepner, John W. Fisher III