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Description
| - This paper presents a novel image-based registration method for high-resolution multi-view images of a planar material surface. Contrary to standard registration approaches, this method aligns images based on a true plane of the material's surface and not on a plane defined by registration marks. It combines the camera calibration and the iterative fitting of desired position and slant of the surface plane, image re-registration, and evaluation of the surface alignment. To optimize image compression performance, we use an error of a compression method as a function evaluating the registration quality. The proposed method shows encouraging results on example visualizations of view- and illumination-dependent textures. In addition to a standard multi-view data registration approach, it provides a better alignment of multi-view images and thus allows more detailed visualization using the same compressed parameterization size.
- This paper presents a novel image-based registration method for high-resolution multi-view images of a planar material surface. Contrary to standard registration approaches, this method aligns images based on a true plane of the material's surface and not on a plane defined by registration marks. It combines the camera calibration and the iterative fitting of desired position and slant of the surface plane, image re-registration, and evaluation of the surface alignment. To optimize image compression performance, we use an error of a compression method as a function evaluating the registration quality. The proposed method shows encouraging results on example visualizations of view- and illumination-dependent textures. In addition to a standard multi-view data registration approach, it provides a better alignment of multi-view images and thus allows more detailed visualization using the same compressed parameterization size. (en)
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Title
| - Registration of Multi-view Images of Planar Surfaces
- Registration of Multi-view Images of Planar Surfaces (en)
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skos:prefLabel
| - Registration of Multi-view Images of Planar Surfaces
- Registration of Multi-view Images of Planar Surfaces (en)
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skos:notation
| - RIV/67985556:_____/13:00391429!RIV14-GA0-67985556
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - I, P(GA102/08/0593), P(GAP103/11/0335)
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/67985556:_____/13:00391429
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - registration; BTF; texture; material; appearance; multi-view (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Filip, Jiří
- Vávra, Radomír
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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issn
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number of pages
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http://bibframe.org/vocab/doi
| - 10.1007/978-3-642-37447-0_38
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http://purl.org/ne...btex#hasPublisher
| - Springer-Verlag. (Berlin; Heidelberg)
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https://schema.org/isbn
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