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Registration of Multi-view Images of Planar Surfaces
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SYSNO ASEP 0391429 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Registration of Multi-view Images of Planar Surfaces Author(s) Vávra, Radomír (UTIA-B) RID, ORCID
Filip, Jiří (UTIA-B) RID, ORCIDNumber of authors 2 Source Title 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers, Part IV. - Berlin : Springer Berlin Heidelberg, 2013 - ISSN 0302-9743 - ISBN 978-3-642-37446-3 Pages s. 497-509 Number of pages 12 s. Publication form Medium - C Action 11th Asian Conference on Computer Vision (ACCV 2012) Event date 05.11.2012-09.11.2012 VEvent location Daejeon Country KR - Korea, Republic of Event type WRD Language eng - English Country DE - Germany Keywords registration ; BTF ; texture ; material ; appearance ; multi-view Subject RIV BD - Theory of Information R&D Projects GA102/08/0593 GA ČR - Czech Science Foundation (CSF) GAP103/11/0335 GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 DOI 10.1007/978-3-642-37447-0_38 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2014
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