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Journal of Electronic Imaging

Performance comparison of image feature detectors utilizing a large number of scenes
Author(s): Bruno Ferrarini; Shoaib Ehsan; Naveed Ur Rehman; Klaus D. McDonald-Maier
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Paper Abstract

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.

Paper Details

Date Published: 19 January 2016
PDF: 4 pages
J. Electron. Imag. 25(1) 010501 doi: 10.1117/1.JEI.25.1.010501
Published in: Journal of Electronic Imaging Volume 25, Issue 1
Show Author Affiliations
Bruno Ferrarini, Univ. of Essex (United Kingdom)
Shoaib Ehsan, Univ. of Essex (United Kingdom)
Naveed Ur Rehman, COMSATS Institute of Information Technology (Pakistan)
Klaus D. McDonald-Maier, Univ. of Essex (United Kingdom)

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