@inproceedings{d8150761a9fa49b1afac21a3b7ca1e8f,
title = "GpuCV: An opensource GPU-accelerated framework for image 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-they 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 = "10.1145/1459359.1459578",
language = "English",
isbn = "9781605583037",
series = "MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops",
pages = "1089--1092",
booktitle = "MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops",
note = "16th ACM International Conference on Multimedia, MM '08 ; Conference date: 26-10-2008 Through 31-10-2008",
}