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» Probabilistic Scene Models for Image Interpretation
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ECCV
2002
Springer
14 years 7 months ago
Learning to Parse Pictures of People
The detection of people is one of the foremost problems for indexing, browsing and retrieval of video. The main difficulty is the large appearance variations caused by action, clot...
Rémi Ronfard, Cordelia Schmid, Bill Triggs
ACCV
2006
Springer
13 years 11 months ago
Dense Motion and Disparity Estimation Via Loopy Belief Propagation
We describe a method for computing a dense estimate of motion and disparity, given a stereo video sequence containing moving non-rigid objects. In contrast to previous approaches, ...
Michael Isard, John MacCormick
CG
2000
Springer
13 years 5 months ago
Sketching space
In this paper we present a sketch modelling system which we call Stilton. The program resembles a desktop VRML browser, allowing a user to navigate a 3D model in a perspective pro...
Alasdair Turner, David Chapman, Alan Penn
CVPR
2010
IEEE
13 years 5 months ago
Label propagation in video sequences
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of ...
Vijay Badrinarayanan, Fabio Galasso, Roberto Cipol...