GCH 2016 - Eurographics Workshop on Graphics and Cultural Heritage

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https://diglib.eg.org/handle/10.2312/2630933

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Browsing GCH 2016 - Eurographics Workshop on Graphics and Cultural Heritage by Subject "Bitmap and framebuffer operations"

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    3D Object Spatial- consistent Texture Maps Appropriate for 2D Image Processing
    (The Eurographics Association, 2016) Ioannakis, George; Koutsoudis, Anestis; Chamzas, Christos; Chiara Eva Catalano and Livio De Luca
    The aim of this work is to generate a spatial-consistent UV maps of a 3D object's texture suitable for 2D image processing algorithms. An approach to produce such a fully spatially consistent UV mapping suitable for image processing based on the planar parameterisation of the mesh is presented. The mesh of a 3D model is parametrised onto a unit square 2D plane using computational conformal geometry techniques. The proposed method is genus independent, due to an iterative 3D mesh cutting procedure. The selection of the initial seed vertex for the mesh-cut is not essential for the parameterisation of the geometry, however it affects heavily the appearance of the obtained texture map. In this work we attempt to determine such a seed vertex, in order the UV map to be suitable for image processing. Having the texture of a 3D model depicted on a spatially continuous two dimensional structure enables us to efficiently apply well known image processing based techniques and algorithms. Our method is applied on a 3D digital replica of an ancient Greek Lekythos vessel.
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    A Framework for Compact and Improved Panoramic VR Dissemination
    (The Eurographics Association, 2016) Fanini, Bruno; D'Annibale, Enzo; Chiara Eva Catalano and Livio De Luca
    Panoramic capture devices in Cultural Heritage are becoming widely available to consumer market, also due to comfortable interactive online dissemination and to the growth of VR segment. VR fruition through an HMD although, requires a virtual 3D representation to provide consistency in terms of experience, scale and spatial perception, overcoming limitations of standard approaches in orientation+positional HMD tracking model. However, modeling of 3D scenes and especially optimization of acquired dataset, are often time-consuming tasks: these are further stressed when dealing with latency-free demands of latest HMDs. In this paper, we propose a novel framework for panoramic acquisition and an improved data model for VR dissemination: spherical panoramas, omnidirectional depth-maps and semantic annotations are encoded into a compact, coherent representation that suits modern HMD needs and low-cost VR devices. We describe advantages of our approach in terms of acquisition pipeline, presence and depth perception in HMDs fruition, discussing also visualization efficiency in online contexts. We present a few case studies where we applied the methodology and the workflow we adopted, comparing results. We discuss integration of existing desktop toolkits into the pipeline, dissemination capabilities through recent WebVR API and framework advantages for immersive VR panoramic video streaming.