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ICMCS
2008
IEEE
159views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Using graphics devices in reverse: GPU-based Image Processing and Computer Vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
VIS
2004
IEEE
186views Visualization» more  VIS 2004»
14 years 9 months ago
Hardware-Accelerated Adaptive EWA Volume Splatting
We present a hardware-accelerated adaptive EWA volume splatting algorithm. EWA splatting combines a Gaussian reconstruction kernel with a low-pass image filter for high image qual...
Wei Chen, Liu Ren, Matthias Zwicker, Hanspeter Pfi...
JEI
2006
162views more  JEI 2006»
13 years 8 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
EGH
2009
Springer
13 years 6 months ago
A directionally adaptive edge anti-aliasing filter
The latest generation of graphics hardware provides direct access to multisample anti-aliasing (MSAA) rendering data. By taking advantage of these existing pixel subsample values,...
Konstantine Iourcha, Jason C. Yang, Andrew Pomiano...
APPT
2009
Springer
14 years 13 days ago
Efficient Multiplication of Polynomials on Graphics Hardware
We present the algorithm to multiply univariate polynomials with integer coefficients efficiently using the Number Theoretic transform (NTT) on Graphics Processing Units (GPU). The...
Pavel Emeliyanenko