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Object Pose Estimation using Patch-Duplet/SIFT Hybrids
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, The Institute of Technology.
2009 (English)In: Proceedings of the 11th IAPR Conference on Machine Vision Applications / [ed] Hideo SAITO, Tokyo, Japan, 2009, 134-137 p.Conference paper (Refereed)
Abstract [en]

Recent years have seen a lot of work on local descriptors. In all published comparisons or evaluations, the now quite well-known SIFT-descriptor has been one of the top performers. For the application of object pose estimation, one comparison showed a local descriptor, called the Patch-Duplet, of equal or better performance than SIFT. This paper examines different properties of those two descriptors by forming hybrids between them and extending the object pose tests of the original Patch-Duplet paper. All tests use real images.

Place, publisher, year, edition, pages
Tokyo, Japan, 2009. 134-137 p.
Keyword [en]
bin-picking, vision, local features
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-56268ISBN: 978-4-901122-09-2OAI: diva2:318015
Machine Vision Applications
Available from: 2010-05-06 Created: 2010-05-06 Last updated: 2010-05-06

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Viksten, Fredrik
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Information CodingThe Institute of Technology
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