"102032" . . "V\u00E1vra, Radom\u00EDr" . . "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 . . "[9B524ADE1F6A]" . "978-3-642-37446-3" . "Springer-Verlag. (Berlin; Heidelberg)" . "Registration of Multi-view Images of Planar Surfaces" . . . . . "RIV/67985556:_____/13:00391429" . "I, P(GA102/08/0593), P(GAP103/11/0335)" . . "registration; BTF; texture; material; appearance; multi-view"@en . "12"^^ . "Registration of Multi-view Images of Planar Surfaces"@en . "RIV/67985556:_____/13:00391429!RIV14-GA0-67985556" . . "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." . "0302-9743" . "10.1007/978-3-642-37447-0_38" . "Filip, Ji\u0159\u00ED" . "Registration of Multi-view Images of Planar Surfaces"@en . . "2012-11-05+01:00"^^ . . "2"^^ . . . "Daejeon" . "Registration of Multi-view Images of Planar Surfaces" . . . . . "2"^^ . . . "11th Asian Conference on Computer Vision ACCV, Revised Selected Papers" . . "Berlin" . . . .