liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
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 (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]
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-29519Local ID: 14875ISBN: 0-7803-8874-7OAI: diva2:250334
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2009-11-26

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Nordberg, KlasSöderberg, Robert
By organisation
The Institute of TechnologyComputer VisionDepartment of Electrical Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 141 hits
ReferencesLink to record
Permanent link

Direct link