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» Deriving Facial Articulation Models from Image Sequences
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ACCV
2009
Springer
15 years 6 months ago
Crowd Flow Characterization with Optimal Control Theory
Abstract. Analyzing the crowd dynamics from video sequences is an open challenge in computer vision. Under a high crowd density assumption, we characterize the dynamics of the crow...
Pierre Allain, Nicolas Courty, Thomas Corpetti
3DPVT
2004
IEEE
155views Visualization» more  3DPVT 2004»
15 years 3 months ago
Markerless Human Motion Transfer
In this paper we develop a computer vision-based system to transfer human motion from one subject to another. Our system uses a network of eight calibrated and synchronized camera...
German K. M. Cheung, Simon Baker, Jessica K. Hodgi...
ICIP
2008
IEEE
16 years 1 months ago
Learning action dictionaries from video
Summarizing the contents of a video containing human activities is an important problem in computer vision and has important applications in automated surveillance systems. Summar...
Pavan K. Turaga, Rama Chellappa
CVPR
1997
IEEE
16 years 1 months ago
Novel view synthesis in tensor space
We present a new method for synthesizing novel views of a 3D scene from few model images in full correspondence. The core of this work is the derivation of a tensorial operator th...
Shai Avidan, Amnon Shashua
SCALESPACE
2007
Springer
15 years 6 months ago
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Relying on a physically sound vertical decomposition of...
Patrick Héas, Étienne Mémin, ...