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102
Voted
TIP
2008
133views more  TIP 2008»
15 years 20 days ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
123
Voted
SIGGRAPH
1995
ACM
15 years 4 months ago
A realistic camera model for computer graphics
Most recent rendering research has concentrated on two subproblems: modeling the reflection of light from materials, and calculating the direct and indirect illumination from lig...
Craig E. Kolb, Don P. Mitchell, Pat Hanrahan
114
Voted
KBSE
2007
IEEE
15 years 7 months ago
Modeling bug report quality
Software developers spend a significant portion of their resources handling user-submitted bug reports. For software that is widely deployed, the number of bug reports typically ...
Pieter Hooimeijer, Westley Weimer
101
Voted
CVPR
1998
IEEE
16 years 2 months ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas
98
Voted
ICPR
2004
IEEE
16 years 1 months ago
BTF Image Space Utmost Compression and Modelling Method
The bidirectional texture function (BTF) describes texture appearance variations due to varying illumination and viewing conditions. This function is acquired by large number of m...
Jirí Filip, Michael Arnold, Michal Haindl