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Direct estimation o...
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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 ...
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IEEE Computer Society,1995
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:kth-58611
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-58611URI
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https://doi.org/10.1109/ICCV.1995.466795DOI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Notes
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Qc 20130419
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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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KTHNumerisk analys och datalogi, NADA
(creator_code:org_t)
Related titles
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In:Proc. 5th International Conference on Computer Vision: IEEE Computer Society, s. 134-141
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