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» Using particles to sample and control implicit surfaces
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91
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ICML
2005
IEEE
15 years 10 months ago
Implicit surface modelling as an eigenvalue problem
We discuss the problem of fitting an implicit shape model to a set of points sampled from a co-dimension one manifold of arbitrary topology. The method solves a non-convex optimis...
Christian Walder, Olivier Chapelle, Bernhard Sch&o...
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
14 years 10 months ago
Allocation of local and global search capabilities of particle in canonical PSO
This paper analyzes theoretically the exact sampling distribution of the particle swarm optimization (PSO) without any assumption imposed by all current analyses. The distribution...
Junqi Zhang, Kun Liu, Ying Tan, Xingui He
73
Voted
VC
2008
169views more  VC 2008»
14 years 9 months ago
Adaptive particles for incompressible fluid simulation
Abstract We propose a particle-based technique for simulating incompressible fluid that includes adaptive refinement of particle sampling. Each particle represents a mass of fluid ...
Woosuck Hong, Donald H. House, John Keyser
WSCG
2004
143views more  WSCG 2004»
14 years 11 months ago
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces
In this paper we present a new technique for rendering very large datasets representing point-sampled surfaces. Rendering efficiency is considerably improved by using stochastic s...
Sushil Bhakar, Liang Luo, Sudhir P. Mudur
GLOBECOM
2009
IEEE
15 years 1 months ago
Restarting Particle Filters: An Approach to Improve the Performance of Dynamic Indoor Localization
Particle filters have been found to be effective in tracking mobile targets in indoor environments. One frequently encountered problem in these settings occurs when the target'...
Begumhan Turgut, Richard P. Martin