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Scale and Resolution in Active Analysis of Local Image Structure
KTH, Tidigare Institutioner, Numerisk analys och datalogi, NADA.
KTH, Tidigare Institutioner, Numerisk analys och datalogi, NADA.
KTH, Skolan för datavetenskap och kommunikation (CSC), Beräkningsbiologi, CB.ORCID-id: 0000-0002-9081-2170
1990 (engelsk)Inngår i: Image and Vision Computing, Vol. 8, s. 289-296Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
1990. Vol. 8, s. 289-296
Emneord [en]
foveation, scale, resolution, junction classification, scale-space techniques, focus-of-attention, active vision, histogram analysis
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-40145DOI: 10.1016/0262-8856(90)80005-EOAI: oai:DiVA.org:kth-40145DiVA, id: diva2:453346
Merknad
QC 20111102 NR 20140804Tilgjengelig fra: 2011-11-02 Laget: 2011-09-13 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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