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Performance comparison of image feature detectors utilizing a large number of scenes

UNSPECIFIED (2016) 'Performance comparison of image feature detectors utilizing a large number of scenes.' Journal of Electronic Imaging, 25 (1). ISSN 1017-9909

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Abstract

© 2016 SPIE and IS & T. The availability of a large number of local invariant feature detectors has rendered the task of evaluating them an important issue in vision research. However, the maximum number of scenes utilized for performance comparison has so far been relatively small. This paper presents an evaluation framework and results based on it utilizing a large number of scenes, providing insights into the performance of local feature detectors under varying JPEG compression ratio, blur, and uniform light changes.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 15 Jun 2016 14:29
Last Modified: 08 Jan 2019 22:15
URI: http://repository.essex.ac.uk/id/eprint/16930

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