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» Tracking Complex Objects Using Graphical Object Models
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133
Voted
ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 2 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
TOG
2008
142views more  TOG 2008»
15 years 2 months ago
Fast animation of turbulence using energy transport and procedural synthesis
We present a novel technique for the animation of turbulent fluids by coupling a procedural turbulence model with a numerical fluid solver to introduce subgrid-scale flow detail. ...
Rahul Narain, Jason Sewall, Mark Carlson, Ming C. ...
SIGGRAPH
1993
ACM
15 years 7 months ago
Global visibility algorithms for illumination computations
The most expensive geometric operation in image synthesis is visibility determination. Classically this is solved with hidden surface removal algorithms that render only the parts...
Seth J. Teller, Pat Hanrahan
285
Voted
VR
2011
IEEE
309views Virtual Reality» more  VR 2011»
14 years 6 months ago
Two-handed tangible interaction techniques for composing augmented blocks
Abstract Modeling tools typically have their own interaction methods for combining virtual objects. For realistic composition in 3D space, many researchers from the fields of virt...
Hyeongmook Lee, Mark Billinghurst, Woontack Woo
SIGGRAPH
1997
ACM
15 years 6 months ago
View-dependent refinement of progressive meshes
Level-of-detail (LOD) representations are an important tool for realtime rendering of complex geometric environments. The previously introduced progressive mesh representation def...
Hugues Hoppe