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Direct computation of shape cues using scale-adapted spatial derivative operators
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9081-2170
1996 (English)In: International Journal of Computer Vision, ISSN 0920-5691, E-ISSN 1573-1405, Vol. 17, no 2, 163-191 p.Article in journal (Refereed) Published
Abstract [en]

This paper addresses the problem of computing cues to the three-dimensional structure of surfaces in the world directly from the local structure of the brightness pattern of either a single monocular image or a binocular image pair.It is shown that starting from Gaussian derivatives of order up to two at a range of scales in scale-space, local estimates of (i) surface orientation from monocular texture foreshortening, (ii) surface orientation from monocular texture gradients, and (iii) surface orientation from the binocular disparity gradient can be computed without iteration or search, and by using essentially the same basic mechanism.The methodology is based on a multi-scale descriptor of image structure called the windowed second moment matrix, which is computed with adaptive selection of both scale levels and spatial positions. Notably, this descriptor comprises two scale parameters; a local scale parameter describing the amount of smoothing used in derivative computations, and an integration scale parameter determining over how large a region in space the statistics of regional descriptors is accumulated.Experimental results for both synthetic and natural images are presented, and the relation with models of biological vision is briefly discussed.

Place, publisher, year, edition, pages
Kluwer Academic Publishers, 1996. Vol. 17, no 2, 163-191 p.
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-58561DOI: 10.1007/BF00058750OAI: oai:DiVA.org:kth-58561DiVA: diva2:473351
Note

QC 20130423

Available from: 2012-01-05 Created: 2012-01-05 Last updated: 2017-12-08Bibliographically approved

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Lindeberg, Tony

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