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FGR
2004
IEEE
126views Biometrics» more  FGR 2004»
13 years 11 months ago
Trainable Videorealistic Speech Animation
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module. A human subject is first recorded using a videocamera as he/she u...
Tony Ezzat, Gadi Geiger, Tomaso Poggio
ICIP
2005
IEEE
14 years 9 months ago
Range-enhanced active foreground extraction
We describe a new technique that uses active scene illumination to perform foreground-background segmentation and recover partial HDR information. We explore the fact that relativ...
Asla Medeiros Sá, Marcelo Bernardes Vieira,...
ICIP
2008
IEEE
14 years 2 months ago
Motion detection with an unstable camera
Fast and accurate motion detection in the presence of camera jitter is known to be a difficult problem. Existing statistical methods often produce abundant false positives since ...
Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Salig...
CVPR
2010
IEEE
14 years 3 months ago
Removing Rolling Shutter Wobble
We present an algorithm to remove wobble artifacts from a video captured with a rolling shutter camera undergoing large accelerations or jitter. We show how estimating the rapid m...
Simon Baker, Eric Bennett, Sing Bing Kang, Richard...
CAIP
2007
Springer
101views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Target Positioning with Dominant Feature Elements
We propose a dominant-feature based matching method for capturing a target in a video sequence through the dynamic decomposition of the target template. The target template is segm...
Zhuan Qing Huang, Zhuhan Jiang