The Challenges and Advantages with a Parallel Implementation of Feature Matching

Anders Hast; Andrea Marchetti

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Paper

The Challenges and Advantages with a Parallel Implementation of Feature Matching

Topics: Image Registration

In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 101-106, 2016 , Rome, Italy

Authors: Anders Hast ¹ and Andrea Marchetti ²

Affiliations: ¹ Uppsala University, Sweden ; ² Consiglio Nazionale delle Ricerche, Italy

Keyword(s): Feature Matching, RANSAC, Interest Points, Parallel Implementation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Registration

Abstract: The number of cores per cpu is predicted to double every second year. Therefore, the opportunity to parallelise currently used algorithms in computer vision and image processing needs to be addressed sooner rather than later. A parallel feature matching approach is proposed and evaluated in Matlab􏰂. The key idea is to use different interest point detectors so that each core can work on its own subset independently of the others. However, since the image pairs are the same, the homography will be essentially the same and can therefore be distributed by the process that first finds a solution. Nevertheless, the speedup is not linear and reasons why is discussed.

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Paper citation in several formats:

Hast, A. and Marchetti, A. (2016). The Challenges and Advantages with a Parallel Implementation of Feature Matching. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 101-106. DOI: 10.5220/0005674501010106

@conference{visapp16,
author={Anders Hast. and Andrea Marchetti.},
title={The Challenges and Advantages with a Parallel Implementation of Feature Matching},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={101-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005674501010106},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - The Challenges and Advantages with a Parallel Implementation of Feature Matching
SN - 978-989-758-175-5
IS - 2184-4321
AU - Hast, A.
AU - Marchetti, A.
PY - 2016
SP - 101
EP - 106
DO - 10.5220/0005674501010106
PB - SciTePress