EG UK Theory and Practice of Computer Graphics 2013

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https://diglib.eg.org/handle/10.2312/908

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Browsing EG UK Theory and Practice of Computer Graphics 2013 by Subject "Computational Geometry and Object Modeling"

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    Acquisition, Representation and Rendering of Real-World Models using Polynomial Texture Maps in 3D
    (The Eurographics Association, 2013) Vassallo, Elaine; Spina, Sandro; Debattista, Kurt; Silvester Czanner and Wen Tang
    The ability to represent real-world objects digitally in a realistic manner is an indispensable tool for many applications. This paper proposes a method for acquiring, processing, representing, and rendering these digital representations. Acquisition can be divided into two processes: acquiring the 3D geometry of the object, and obtaining the texture and reflectance behaviour of the object. Our work explores the possibility of using Microsoft's Kinect sensor to acquire the 3D geometry, by registration of data captured from different viewpoints. The Kinect sensor itself is used to acquire texture and reflectance information which is represented using multiple Polynomial Texture Maps. We present processing pipelines for both geometry and texture, and finally our work examines how the acquired and processed geometry, texture, and reflectance behaviour information can be mapped together in 3D, allowing the user to view the object from different viewpoints while being able to interactively change light direction. Varying light direction uncovers details of the object which would not have been possible to observe using a single, fixed, light direction. This is useful in many scenarios, amongst which is the examination of cultural heritage artifacts with surface variations.
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    Geometry-based Algorithm for Detection of Asymmetric Tunnels in Protein Molecules
    (The Eurographics Association, 2013) Byska, Jan; Jurcik, Adam; Sochor, JirĂ­; Silvester Czanner and Wen Tang
    We present a novel geometry-based method for computing asymmetric tunnels and voids in proteins, approximating their real shape with selected precision. Our method combines ideas from Voronoi and grid based approaches for protein analysis. We represent tunnels in protein using voxel data grid which allows us to store their shape more accurately. Our algorithm employs a tunnel skeleton computed using Voronoi diagram. The skeleton allows us to perform grid computation in a bounded space, with lower time and memory demands, and easily identify and measure individual tunnels.