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» 3D People Tracking with Gaussian Process Dynamical Models
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DAGM
2009
Springer
14 years 3 days ago
Markerless 3D Face Tracking
We present a novel algorithm for the markerless tracking of deforming surfaces such as faces. We acquire a sequence of 3D scans along with color images at 40Hz. The data is then re...
Christian Walder, Martin Breidt, Heinrich H. B&uum...
ICIP
2005
IEEE
14 years 7 months ago
Fusion of multiple viewpoint information towards 3D face robust orientation detection
This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multiple calibra...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ICPR
2004
IEEE
14 years 6 months ago
3D Face Pose Tracking From an Uncalibrated Monocular Camera
ct We propose a new near-real time technique for 3D face pose tracking from a monocular image sequence obtained from an uncalibrated camera. The basic idea behind our approach is t...
Qiang Ji, Zhiwei Zhu
ICASSP
2008
IEEE
13 years 12 months ago
Camera and microphone array for 3D audiovisual face data collection
This paper proposes a novel camera/microphone array system capable of capturing dynamic facial expression video with synchronized speech and reconstructing realistic 3D face model...
Yuxiao Hu, Hao Tang, Thomas S. Huang
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
13 years 9 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong