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IVC
2008
138views more  IVC 2008»
13 years 9 months ago
Reconstructing relief surfaces
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
George Vogiatzis, Philip H. S. Torr, Steven M. Sei...
TSMC
2008
146views more  TSMC 2008»
13 years 9 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
CORR
2011
Springer
211views Education» more  CORR 2011»
13 years 28 days ago
Labeling 3D scenes for Personal Assistant Robots
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
Hema Swetha Koppula, Abhishek Anand, Thorsten Joac...
ICIP
2003
IEEE
14 years 10 months ago
Rate distortion optimized mode decision in the scalable video coding
In this paper, we discuss how to apply the rate distortion technique to select the optimal mode in the scalable coding. Firstly, we analyze this problem from a general scalable mo...
Zhijie Yang, Feng Wu, Shipeng Li
ICPR
2004
IEEE
14 years 10 months ago
Parameterisation Invariant Statistical Shape Models
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
Johan Karlsson, Anders Ericsson, Kalle Åstr&...