Home // MMEDIA 2011, The Third International Conferences on Advances in Multimedia // View article

Low Complexity Corner Detector Using CUDA for Multimedia Applications

Authors:
Patrice Rondao Alface

Keywords: LoCoCo; Harris feature detector; GPU; CUDA

Abstract:
High speed feature detection is a requirement for many real-time multimedia and computer vision applications. In previous work, the Harris and KLT algorithms were redesigned to increase the performance by reducing the algorithmic complexity, resulting in the Low Complexity Corner Detector algorithm. To attain further speedup, this paper proposes the implementation of this low complexity corner detector algorithm on a parallel computing architecture, namely a GPU using Compute Unified Device Architecture (CUDA). We show that the low complexity corner detector is 2-3 times faster than the Harris corner detector algorithm on the same GPU platform.

Pages: 7 to 11

Copyright: Copyright (c) IARIA, 2011

Publication date: April 17, 2011

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-129-8

Location: Budapest, Hungary

Dates: from April 17, 2011 to April 22, 2011