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.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||Lighting variance, Vision-based robotics|
|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|
Repository Staff Only: item control page