Name
Title | ||
|---|---|---|
GpuCV: an opensource GPU-accelerated framework forimage processing and computer vision |
Abstract | ||
|---|---|---|
This paper presents GpuCV, an open source multi-platform library for easily developing GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. It is designed to be compatible with Intel's OpenCV library by offering GPU-accelerated operators that can be integrated into native OpenCV applications. The GpuCV framework transparently manages hardware capabilities, data synchronization, activation of low level GLSL and CUDA programs, on-the-fly benchmarking and switching to the most efficient implementation and finally offers a set of image processing operators with GPU acceleration available. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1459359.1459578 | ACM Multimedia 2001 |
Keywords | Field | DocType |
gpu-accelerated operator,opensource gpu-accelerated framework forimage,gpu acceleration,gpu-accelerated image processing,computer vision,image processing operator,gpucv framework,cuda program,native opencv application,open source multi-platform library,opencv library,gpu technology,image processing,gpgpu | Computer vision,CUDA,Computer science,Data synchronization,Image processing,General-purpose computing on graphics processing units,Artificial intelligence,Operator (computer programming),Operating system,Benchmarking | Conference |
Citations | PageRank | References |
9 | 0.73 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yannick Allusse | 1 | 13 | 1.64 |
| Patrick Horain | 2 | 48 | 5.75 |
| Ankit Agarwal | 3 | 16 | 2.11 |
| Cindula Saipriyadarshan | 4 | 13 | 1.30 |