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» Combining Simple Models to Approximate Complex Dynamics
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CVPR
2005
IEEE
14 years 9 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
CG
2008
Springer
13 years 7 months ago
A simple and flexible framework to adapt dynamic meshes
Many graphics applications represent deformable surfaces through dynamic meshes. To be consistent during deformations, the dynamic meshes require an adaptation process. In this pa...
Fernando de Goes, Siome Goldenstein, Luiz Velho
ACRI
2004
Springer
14 years 28 days ago
Chaos in a Simple Cellular Automaton Model of a Uniform Society
In this work we study the collective behavior in a model of a simplified homogeneous society. Each agent is modeled as a binary “perceptron”, receiving neighbors’ opinions a...
Franco Bagnoli, Fabio Franci, Raúl Rechtman
PCM
2004
Springer
168views Multimedia» more  PCM 2004»
14 years 27 days ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao
NOLISP
2005
Springer
14 years 1 months ago
A Simple, Quasi-linear, Discrete Model of Vocal Fold Dynamics
In current speech technology, linear prediction dominates. The linear vocal tract model is well justified biomechanically, and linear prediction is a simple and well understood si...
Max Little, Patrick McSharry, Irene Moroz, Stephen...