@inproceedings{26768b373fb9458990d9adb644cfcda1,
title = "Hardware/software co-design of embedded real-time KD-tree based feature matching systems",
abstract = "Feature matching is an important step in many computational photography applications such as image stitching, 3D reconstruction and object recognition. KD-trees based Best Bin First (KD-BBF) search is one of the most widely used feature matching scheme being employed along with SIFT and SURF. The real time requirements of such computer vision applications for embedded systems put tight compute bounds on the processor. In this paper we propose a soft-core and a hardware accelerator based architecture that enables real time matching of SIFT feature descriptors for HD resolution images at 30 FPS. The proposed accelerator provides a speedup of more than 8 times over the pure software implementation.",
author = "Saad Shoaib and Rehan Hafiz and Muhammad Shafique",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 10th International Symposium on Visual Computing, ISVC 2014 ; Conference date: 08-12-2014 Through 10-12-2014",
year = "2014",
doi = "10.1007/978-3-319-14364-4_90",
language = "English (US)",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "936--945",
editor = "George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ryan McMahan and Jason Jerald and Hui Zhang and Drucker, {Steven M.} and Kambhamettu Chandra and Maha, {El Choubassi} and Zhigang Deng and Mark Carlson",
booktitle = "Advances in Visual Computing - 10th International Symposium, ISVC 2014, Proceedings",
}