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Scale and Resolution in Active 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KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.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: Image and Vision Computing, Vol. 8, 289-296 p.Article in journal (Refereed) Published
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. Problems connected to foveation (examination of selected regions of the world at high resolution) are examined. In particular, the problem of finding and classifying junctions from this aspect is considered. It is shown that foveation as simulated by controlled, active zooming in conjunction with scale-space techniques allows for robust detection and classification of junctions.

Place, publisher, year, edition, pages
1990. Vol. 8, 289-296 p.
Keyword [en]
foveation, scale, resolution, junction classification, scale-space techniques, focus-of-attention, active vision, histogram analysis
National Category
Computer and Information Science Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:kth:diva-40145DOI: 10.1016/0262-8856(90)80005-EOAI: diva2:453346
QC 20111102 NR 20140804Available from: 2011-11-02 Created: 2011-09-13 Last updated: 2012-01-05Bibliographically approved

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Brunnström, KjellEklundh, Jan-OlofLindeberg, Tony
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