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Search: AMNE:(NATURAL SCIENCES) AMNE:(Computer and Information Sciences) AMNE:(Computer Vision and Robotics) > (1995-1999) > Direct estimation o...

  • Lindeberg, Tony,1964-KTH,Numerisk analys och datalogi, NADA (author)

Direct estimation of affine image deformations using visual front-end operations with automatic scale selection

  • Article/chapterEnglish1995

Publisher, publication year, extent ...

  • IEEE Computer Society,1995
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-58611
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-58611URI
  • https://doi.org/10.1109/ICCV.1995.466795DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • Qc 20130419
  • This article deals with the problem of estimating deformations of brightness patterns using visual front-end operations. Estimating such deformations constitutes an important subtask in several computer vision problems relating to image correspondence and shape estimation. The following subjects are treated: The problem of decomposing affine flow fields into simpler components is analysed in detail. A canonical parametrization is presented based on singular value decomposition, which naturally separates the rotationally invariant components of the flow field from the rotationally variant ones. A novel mechanism is presented for automatic selection of scale levels when estimating local affine deformations. This mechanism is expressed within a multi-scale framework where disparity estimates are computed in a hierarchical coarse-to-fine manner and corrected using iterative techniques. Then, deformation estimates are selected from the scales that minimize a certain normalized residual over scales. Finally, the descriptors so obtained serve as initial data for computing refined estimates of the local deformations.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • KTHNumerisk analys och datalogi, NADA (creator_code:org_t)

Related titles

  • In:Proc. 5th International Conference on Computer Vision: IEEE Computer Society, s. 134-141

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