Sciweavers

31 search results - page 3 / 7
» State space exploration using feedback constraint generation...
Sort
View
ECCV
2002
Springer
14 years 7 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
TVCG
2010
180views more  TVCG 2010»
13 years 3 months ago
Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design
—Graphics artists commonly employ physically-based simulation for the generation of effects such as smoke, explosions, and similar phenomena. The task of finding the correct par...
Stefan Bruckner, Torsten Möller
IJCV
2008
282views more  IJCV 2008»
14 years 10 months ago
Stereo Matching Using Population-Based MCMC
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...
Wonsik Kim (Seoul National University), Joonyoung ...
NIPS
2004
13 years 6 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...
ICCAD
1999
IEEE
84views Hardware» more  ICCAD 1999»
13 years 9 months ago
Improving coverage analysis and test generation for large designs
State space techniques have proven to be useful for measuring and improving the coverage of test vectors that are used during functional validation via simulation. By comparing th...
Jules P. Bergmann, Mark Horowitz