EG2017

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https://diglib.eg.org/handle/10.2312/2631246

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Browsing EG2017 by Subject "Computational Geometry and Object Modeling"

Now showing 1 - 4 of 4
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    Mesh SimplificationWith Curvature Error Metric
    (The Eurographics Association, 2017) Michaud, Céline; Mellado, Nicolas; Paulin, Mathias; Pierre Benard and Daniel Sykora
    Progressive meshes algorithms aim at computing levels of detail from a highly detailed mesh. Many of these algorithms are based on a mesh decimation technique, generating coarse triangulation while optimizing for a particular metric which minimizes the distance to the original shape. However these metrics do not robustly handle high curvature regions, sharp features, boundaries or noise. We propose a novel error metric, based on algebraic spheres as a measure of the curvature of the mesh, to preserve curvature along the simplification process. This metric is compact, does not require extra input from the user, and is as simple to implement as a conventional quadric error metric.
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    Phong Tessellation and PN Polygons for Polygonal Models
    (The Eurographics Association, 2017) Hettinga, Gerben J.; Kosinka, Jiri; Adrien Peytavie and Carles Bosch
    We extend Phong tessellation and point normal (PN) triangles from the original triangular setting to arbitrary polygons by use of generalised barycentric coordinates and S-patches. In addition, a generalisation of the associated quadratic normal field is given as well as a simple algorithm for evaluating the polygonal extensions for a polygon with vertex normals on the GPU.
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    Physically-based Muscles and Fibers Modeling from Superficial Patches
    (The Eurographics Association, 2017) Turchet, Fabio; Fryazinov, Oleg; Schvartzman, Sara C.; Adrien Peytavie and Carles Bosch
    We propose a novel approach for the generation of volumetric muscle primitives and their associated fiber field, suitable for simulation in computer animation. Muscles are notoriously difficult to sculpt because of their complex shapes and fiber architecture, therefore often requiring trained artists to render anatomical details. Moreover, physics simulation requires these geometries to be modeled in an intersection-free rest state and to have a spatially-varying fiber field to support contraction with anisotropic material models. Inspired by the principles of computational design, we satisfy these requirements by generating muscle primitives automatically, complete with tendons and fiber fields, using physics based simulation of inflatable 3D patches which are user-defined on the external mesh of a character.
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    State of the Art in Methods and Representations for Fabrication-Aware Design
    (The Eurographics Association and John Wiley & Sons Ltd., 2017) Bermano, Amit Haim; Funkhouser, Thomas; Rusinkiewicz, Szymon; Victor Ostromoukov and Matthias Zwicker
    Computational manufacturing technologies such as 3D printing hold the potential for creating objects with previously undreamed-of combinations of functionality and physical properties. Human designers, however, typically cannot exploit the full geometric (and often material) complexity of which these devices are capable. This STAR examines recent systems developed by the computer graphics community in which designers specify higher-level goals ranging from structural integrity and deformation to appearance and aesthetics, with the final detailed shape and manufacturing instructions emerging as the result of computation. It summarizes frameworks for interaction, simulation, and optimization, as well as documents the range of general objectives and domain-specific goals that have been considered. An important unifying thread in this analysis is that different underlying geometric and physical representations are necessary for different tasks: we document over a dozen classes of representations that have been used for fabrication-aware design in the literature. We analyze how these classes possess obvious advantages for some needs, but have also been used in creative manners to facilitate unexpected problem solutions.