Publication details

Registration of Multi-view Images of Planar Surfaces

Conference Paper (international conference)

Vávra Radomír, Filip Jiří

serial: 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers, p. 497-509

action: 11th Asian Conference on Computer Vision (ACCV 2012), (Daejeon, KR, 05.11.2012-09.11.2012)

project(s): 239294, EC, 409, CESNET, GA102/08/0593, GA ČR, GAP103/11/0335, GA ČR

keywords: registration, BTF, texture, material, appearance, multi-view

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abstract (eng):

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.