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        "title": "Reduced-Order Shape Optimization Using Offset Surfaces in Blender",
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        "abstract": "The advance of 3D printers’ capabilities and their sinking costs led to a huge trend of\npersonal and commercial fabrication. But those advances were restricted to the hardware\nside meaning that there was a lack of software to optimize the digital models before printing. This was necessary because physical properties like mass, center of mass or moments of inertia, were neglected in the design of digital 3D models. Those properties play an important role in the behavior of a real-world object. Examples of an objects behavior are the ability to stand in a specific pose, float in the water or stably rotate around a certain axis.\nIn the last few years methods have been presented to optimize digital models by altering\nspecific regions of their volume in order to change their physical properties and therefore\nto prepare them for printing. A recently presented method forms the basis of this thesis.\nDue to its flexibility and performance it is well suited to be integrated into current 3D modeling applications. The algorithm was implemented as a C/C++ library which can be integrated in almost every application. Afterwards this library was integrated into the open source 3D modeling application Blender as a modifier. ",
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    {
        "id": "leimer_2017_rbpesc",
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        "title": "Relation-Based Parametrization and Exploration of Shape Collections",
        "date": "2017-10",
        "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have emerged for both experienced and inexperienced users. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes. But exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes based on the variability of spatial arrangements between pairs of parts. The way in which shapes differ from each other is captured automatically, resulting in a small number of exploration parameters. Furthermore, a copy-and-paste system for parts allows the user to change the structure of a shape, making it possible to explore the entire collection from any initial shape.",
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        "journal": "Computers & Graphics",
        "pages_from": "127",
        "pages_to": "137",
        "volume": "67",
        "research_areas": [
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            "Modeling"
        ],
        "keywords": [
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            "Model variability",
            "Shape analysis",
            "Shape collections"
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    {
        "id": "gersthofer_2017_COP",
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        "tu_id": null,
        "repositum_id": null,
        "title": "Clipping and Orthogonal Projection in a Point Cloud Viewer",
        "date": "2017",
        "abstract": "Potree is an interactive web-based point cloud renderer. During an\ninternship I was responsible for extending the application by a set of new\nfeatures. That includes a new tool for clipping, an orthographic camera\nmode and some more minor features which are explained in this report.\nThe following report contains information about the changes made to the\nPotree application.",
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