A novel method for analysing lighting variance

Ross, Patrick, English, Andrew, Ball, David, Upcroft, Ben, Wyeth, Gordon, & Corke, Peter (2013) A novel method for analysing lighting variance. In Katupitiya, Jayantha, Guivant, Jose, & Eaton, Ray (Eds.) Proceedings of Australasian Conference on Robotics and Automation, Australian Robotics & Automation Association, University of New South Wales, Sydney, NSW, pp. 1-8.

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Robust descriptor matching across varying lighting conditions is important for vision-based robotics. We present a novel strategy for quantifying the lighting variance of descriptors. The strategy works by utilising recovered low dimensional mappings from Isomap and our measure of the lighting variance of each of these mappings. The resultant metric allows different descriptors to be compared given a dataset and a set of keypoints. We demonstrate that the SIFT descriptor typically has lower lighting variance than other descriptors, although the result depends on semantic class and lighting conditions.

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ID Code: 66622
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Lighting variance, Vision-based robotics
ISBN: 9780980740448
ISSN: 1448-2053
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 [please consult the author]
Deposited On: 28 Jan 2014 01:09
Last Modified: 09 Apr 2014 12:20

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