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» Deriving Facial Articulation Models from Image Sequences
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ICIP
2004
IEEE
14 years 9 months ago
A general framework for 3d soccer ball estimation and tracking
A general framework for automatic 3D soccer ball estimation and tracking from multiple image sequences is proposed. Firstly, the ball trajectory is modelled as planarcurves in con...
Jinchang Ren, James Orwell, Graeme A. Jones, Ming ...
DAGM
2009
Springer
14 years 2 months ago
Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera
We describe a technique for estimating human pose from an image sequence captured by a time-of-flight camera. The pose estimation is derived from a simple model of the human body ...
Martin Haker, Martin Böhme, Thomas Martinetz,...
ECCV
2008
Springer
14 years 9 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
PAMI
2002
98views more  PAMI 2002»
13 years 7 months ago
Extraction of Visual Features for Lipreading
The multimodal nature of speech is often ignored in human-computer interaction, but lip deformations and other body motion, such as those of the head, convey additional information...
Iain Matthews, Timothy F. Cootes, J. Andrew Bangha...
ACCV
2006
Springer
14 years 1 months ago
A Bottom up Algebraic Approach to Motion Segmentation
We present a bottom up algebraic approach for segmenting multiple 2D motion models directly from the partial derivatives of an image sequence. Our method fits a polynomial called ...
Dheeraj Singaraju, René Vidal