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Detection and representation of complex local features
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Computer Vision.
Linköping University, Department of Electrical Engineering.
2005 (English)In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP): Vol II, 2005, 257-260 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a method for extracting point features from an image, corresponding to corners and crossings of lines. The method is based on a local estimation of a 6 x 6 tensor which describes the parameters of a pair of line segments. By considering the rank of the tensor, it is possible to find points of interest. These points can then be further analyzed to provide detailed information about the configuration of the segments. The proposed method is intended for features which can be used for estimation of position and pose of 3D objects, e.g., for the purpose of grasping.

Place, publisher, year, edition, pages
2005. 257-260 p.
Keyword [en]
VISATEC
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-29519Local ID: 14875ISBN: 0-7803-8874-7 (print)OAI: oai:DiVA.org:liu-29519DiVA: diva2:250334
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2009-11-26

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Nordberg, KlasSöderberg, Robert

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  • apa
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