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» Consequences of Stratified Sampling in Graphics
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SIGGRAPH
1996
ACM
13 years 8 months ago
Consequences of Stratified Sampling in Graphics
Antialiased pixel values are often computed as the mean of N point samples. Using uniformly distributed random samples, the central limit theorem predicts a variance of the mean o...
Don P. Mitchell
CGF
2002
129views more  CGF 2002»
13 years 4 months ago
Efficient Multidimensional Sampling
Image synthesis often requires the Monte Carlo estimation of integrals. Based on a generalized concept of stratification we present an efficient sampling scheme that consistently ...
Thomas Kollig, Alexander Keller
RT
2005
Springer
13 years 10 months ago
Bidirectional Importance Sampling for Direct Illumination
Image-based representations for illumination can capture complex real-world lighting that is difficult to represent in other forms. Current importance sampling strategies for ima...
David Burke, Abhijeet Ghosh, Wolfgang Heidrich
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 4 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
TOG
2008
140views more  TOG 2008»
13 years 4 months ago
Multidimensional adaptive sampling and reconstruction for ray tracing
We present a new adaptive sampling strategy for ray tracing. Our technique is specifically designed to handle multidimensional sample domains, and it is well suited for efficientl...
Toshiya Hachisuka, Wojciech Jarosz, Richard Peter ...