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» A Calculus for Shapes in Time and Space
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ECCV
2002
Springer
14 years 9 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
CVGIP
2006
115views more  CVGIP 2006»
13 years 7 months ago
Methods for exploring expressive stance
The postures a character adopts over time are a key expressive aspect of her movement. While IK tools help a character achieve positioning constraints, there are few tools that he...
Michael Neff, Eugene Fiume
MOBIHOC
2008
ACM
14 years 7 months ago
The networking shape of vehicular mobility
Mobility is the distinguishing feature of vehicular networks, affecting the evolution of network connectivity over space and time in a unique way. Connectivity dynamics, in turn, ...
Marco Fiore, Jérôme Härri
MICCAI
2009
Springer
14 years 5 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
CORR
2008
Springer
97views Education» more  CORR 2008»
13 years 7 months ago
Fast Density Codes for Image Data
Recently, a new method for encoding data sets in the form of "Density Codes" was proposed in the literature (Courrieu, 2006). This method allows to compare sets of points...
Pierre Courrieu