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On Scale and Resolution in the Analysis of Local Image Structure
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-9081-2170
1990 (English)In: Proc. 1st European Conf. on Computer Vision, 1990, Vol. 427, 3-12 p.Conference paper (Other academic)
Abstract [en]

Focus-of-attention is extremely important in human visual perception. If computer vision systems are to perform tasks in a complex, dynamic world they will have to be able to control processing in a way that is analogous to visual attention in humans.

In this paper we will investigate problems in connection with foveation, that is examining selected regions of the world at high resolution. We will especially consider the problem of finding and classifying junctions from this aspect. We will show that foveation as simulated by controlled, active zooming in conjunction with scale-space techniques allows robust detection and classification of junctions.

Place, publisher, year, edition, pages
1990. Vol. 427, 3-12 p.
National Category
Computer and Information Science Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:kth:diva-40144DOI: 10.1007/BFb0014844OAI: diva2:453343
(Antibes, France). QC 20111102 NR 20140804Available from: 2011-11-02 Created: 2011-09-13 Last updated: 2012-01-09Bibliographically approved

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Brunnström, KjellEklundh, Jan-OlofLindeberg, Tony
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