Paper Info
Title
GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision
Abstract
This paper presents briefly the state of the art of accelerating image processing with graphics hardware (GPU) and discusses some of its caveats. Then it describes GpuCV, an open source multi-platform library for GPU-accelerated image processing and Computer Vision operators and applications. It is meant for computer vision scientist not familiar with GPU technologies. GpuCV is designed to be compatible with the popular 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
10.1007/978-3-540-89646-3_42
ISVC
Keywords
Field
DocType
gpu-accelerated operator,gpu acceleration,gpu-accelerated image processing,image processing operator,gpucv framework,native opencv application,image processing,gpu-accelerated framework,hardware capability,graphics hardware,gpu technology,computer vision
Computer vision,Graphics hardware,Computer graphics (images),Computer science,CUDA,Data synchronization,Image processing,Artificial intelligence,Operator (computer programming),General-purpose computing on graphics processing units,OpenGL,Benchmarking
Conference
Volume
ISSN
Citations 
5359
0302-9743
4
PageRank 
References 
Authors
0.58
7
4
Name
Order
Citations
PageRank
Yannick Allusse1131.64
Patrick Horain2485.75
Ankit Agarwal3162.11
Cindula Saipriyadarshan4131.30