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115
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JEI
2006
162views more  JEI 2006»
14 years 9 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
75
Voted
WSCG
2004
161views more  WSCG 2004»
14 years 11 months ago
Rendering Techniques for Hardware-Accelerated Image-Based CSG
Image-based CSG rendering algorithms for standard graphics hardware rely on multipass rendering that includes reading and writing large amounts of pixel data from and to the frame...
Florian Kirsch, Jürgen Döllner
FPL
2009
Springer
90views Hardware» more  FPL 2009»
15 years 2 months ago
A toolset for the analysis and optimization of motion estimation algorithms and processors
This paper presents a reconfigurable processor designed to execute user-defined block-matching motion estimation algorithms, and a toolset for the design of such algorithms and ...
Trevor Spiteri, George Vafiadis, Jose Luis Nunez-Y...
BMCBI
2008
211views more  BMCBI 2008»
14 years 9 months ago
CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment
Background: Searching for similarities in protein and DNA databases has become a routine procedure in Molecular Biology. The Smith-Waterman algorithm has been available for more t...
Svetlin Manavski, Giorgio Valle
83
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ICCAD
1994
IEEE
90views Hardware» more  ICCAD 1994»
15 years 1 months ago
Algorithm selection: a quantitative computation-intensive optimization approach
Given a set of specifications for a targeted application, algorithm selection refers to choosing the most suitable algorithm for a given goal, among several functionally equivalen...
Miodrag Potkonjak, Jan M. Rabaey