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» Complexity of Inference in Graphical Models
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133
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SIGGRAPH
1991
ACM
15 years 7 months ago
Coping with friction for non-penetrating rigid body simulation
Algorithms and computational complexity measures for simulating the motion of contacting bodies with friction are presented. The bodies are restricted to be perfectly rigid bodies...
David Baraff
ICCV
2005
IEEE
15 years 9 months ago
KALMANSAC: Robust Filtering by Consensus
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
151
Voted
WACV
2005
IEEE
15 years 9 months ago
Multi-View Face Tracking with Factorial and Switching HMM
Dynamic face pose change and noise make it difficult to track multi-view faces in a cluttering environment. In this paper, we propose a graphical model based method, which combin...
Peng Wang, Qiang Ji
142
Voted
WSC
1997
15 years 4 months ago
AutoMod Tutorial
The AutoModTM simulation system differs significantly from other systems because of its ability to deal with the physical elements of a system in physical (graphical) terms and th...
Matthew W. Rohrer
169
Voted
TOG
2012
255views Communications» more  TOG 2012»
13 years 5 months ago
A probabilistic model for component-based shape synthesis
We present an approach to synthesizing shapes from complex domains, by identifying new plausible combinations of components from existing shapes. Our primary contribution is a new...
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphn...