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ICPR
2008
IEEE
13 years 11 months ago
Cellular automaton for ultra-fast watershed transform on GPU
In this paper we describe a cellular automaton (CA) used to perform the watershed transform in N-D images. Our method is based on image integration via the Ford-Bellman shortest p...
Claude Kauffmann, Nicolas Piche
SMA
2009
ACM
208views Solid Modeling» more  SMA 2009»
13 years 11 months ago
Accelerating geometric queries using the GPU
We present practical algorithms for accelerating geometric queries on models made of NURBS surfaces using programmable Graphics Processing Units (GPUs). We provide a generalized f...
Adarsh Krishnamurthy, Sara McMains, Kirk Haller
AIPR
2008
IEEE
13 years 6 months ago
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture
In this paper, we introduce real time image processing techniques using modern programmable Graphic Processing Units (GPU). GPUs are SIMD (Single Instruction, Multiple Data) device...
Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao...
SBACPAD
2007
IEEE
157views Hardware» more  SBACPAD 2007»
13 years 11 months ago
Exploring Novel Parallelization Technologies for 3-D Imaging Applications
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...
Diego Rivera, Dana Schaa, Micha Moffie, David R. K...
SAC
2006
ACM
13 years 10 months ago
Implementing an embedded GPU language by combining translation and generation
Dynamic languages typically allow programs to be written y high level of abstraction. But their dynamic nature makes it very hard to compile such languages, meaning that a price h...
Calle Lejdfors, Lennart Ohlsson