@inproceedings{e75964235ffd4fa7a0e978fb940dd7b4,
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.",
keywords = "Computer vision, GLSL, GPGPU, Image processing, NVIDIA CUDA",
author = "Yannick Allusse and Patrick Horain and Ankit Agarwal and Cindula Saipriyadarshan",
year = "2008",
month = dec,
day = "1",
doi = "10.1007/978-3-540-89646-3\_42",
language = "English",
isbn = "3540896457",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "430--439",
booktitle = "Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings",
edition = "PART 2",
note = "4th International Symposium on Visual Computing, ISVC 2008 ; Conference date: 01-12-2008 Through 03-12-2008",
}