JEI Letters

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

[+] Author Affiliations
Bruno Ferrarini, Shoaib Ehsan, Klaus D. McDonald-Maier

University of Essex, School of Computer Science and Electronic Engineering, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom

Naveed Ur Rehman

COMSATS Institute of Information Technology, Department of Electrical Engineering, Park Road, Tarlai Kalan, Islamabad 45550, Pakistan

J. Electron. Imaging. 25(1), 010501 (Jan 19, 2016). doi:10.1117/1.JEI.25.1.010501
History: Received April 17, 2015; Accepted December 16, 2015
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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.

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© 2016 SPIE and IS&T

Topics

Sensors

Citation

Bruno Ferrarini ; Shoaib Ehsan ; Naveed Ur Rehman and Klaus D. McDonald-Maier
"Performance comparison of image feature detectors utilizing a large number of scenes", J. Electron. Imaging. 25(1), 010501 (Jan 19, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.1.010501


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