@inproceedings{0bc3b93611324f0baede53847ace339e,
title = "A GPU based implementation of center-surround distribution distance for feature extraction and matching",
abstract = "The release of general purpose GPU programming environments has garnered universal access to computing performance that was once only available to super-computers. The availability of such computational power has fostered the creation and re-deployment of algorithms, new and old, creating entirely new classes of applications. In this paper, a GPU implementation of the Center-Surround Distribution Distance (CSDD) algorithm for detecting features within images and video is presented. While an optimized CPU implementation requires anywhere from several seconds to tens of minutes to perform analysis of an image, the GPU based approach has the potential to improve upon this by up to 28X, with no loss in accuracy.",
author = "Aditi Rathi and Michael DeBole and Weina Ge and Collins, {Robert T.} and N. Vijaykrishnan",
year = "2010",
doi = "10.1109/date.2010.5457215",
language = "English (US)",
isbn = "9783981080162",
series = "Proceedings -Design, Automation and Test in Europe, DATE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "172--177",
booktitle = "DATE 10 - Design, Automation and Test in Europe",
address = "United States",
note = "Design, Automation and Test in Europe Conference and Exhibition, DATE 2010 ; Conference date: 08-03-2010 Through 12-03-2010",
}