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Accurate Overlap Area Detection Using a Histogram and Multiple Closest Points

Liu, Yonghuai, Martin, Ralph Robert, Li, Longzhuang and Wei, Baogang 2010. Accurate Overlap Area Detection Using a Histogram and Multiple Closest Points. Lecture Notes in Computer Science 6375 , pp. 98-109. 10.1007/978-3-642-15907-7_13

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Abstract

In this paper, we propose a novel ICP variant that uses a histogram in conjunction with multiple closest points to detect the overlap area between range images being registered. Tentative correspondences sharing similar distances are normally all within, or all outside, the overlap area. Thus, the overlap area can be detected in a bin by bin batch manner using a histogram. Using multiple closest points is likely to enlarge the distance difference for tentative correspondences in the histogram, and pull together the images being registered, facilitating the overlap area detection. Our experimental results based on real range images show that the performance of our proposed algorithm enhances the state of the art.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information: PDF uploaded in accordance with publisher's policy http://www.springer.com/gp/open-access/authors-rights/self-archiving-policy/2124 [accessed 01/04/2015] The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-15907-7_13
Publisher: Springer Verlag
ISSN: 0302-9743
Last Modified: 08 Jul 2017 06:06
URI: http://orca-mwe.cf.ac.uk/id/eprint/13254

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