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A Survey of Algorithmic Shapes †

Fraunhofer Austria Research GmbH, Visual Computing & Technische Universität Graz, Inffeldgasse 16c, 8010 Graz, Austria
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This paper is an extended version of our paper published in Proceeding of the InternationalWorkshop on 3D Virtual Reconstruction and Visualization of Complex Architectures (3D-ARCH),2015, 6, 469–479: Built by Algorithms–State of the Art Report on Procedural Modeling.
Academic Editors: Diego Gonzalez-Aguilera and Prasad S. Thenkabai
Remote Sens. 2015, 7(10), 12763-12792; https://doi.org/10.3390/rs71012763
Received: 29 June 2015 / Revised: 11 September 2015 / Accepted: 15 September 2015 / Published: 28 September 2015
In the context of computer-aided design, computer graphics and geometry processing, the idea of generative modeling is to allow the generation of highly complex objects based on a set of formal construction rules. Using these construction rules, a shape is described by a sequence of processing steps, rather than just by the result of all applied operations: shape design becomes rule design. Due to its very general nature, this approach can be applied to any domain and to any shape representation that provides a set of generating functions. The aim of this survey is to give an overview of the concepts and techniques of procedural and generative modeling, as well as their applications with a special focus on archeology and architecture. View Full-Text
Keywords: geometry processing; generative; procedural modeling; inverse modeling; modeling applications; shape description; language design geometry processing; generative; procedural modeling; inverse modeling; modeling applications; shape description; language design
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MDPI and ACS Style

Krispel, U.; Schinko, C.; Ullrich, T. A Survey of Algorithmic Shapes. Remote Sens. 2015, 7, 12763-12792. https://doi.org/10.3390/rs71012763

AMA Style

Krispel U, Schinko C, Ullrich T. A Survey of Algorithmic Shapes. Remote Sensing. 2015; 7(10):12763-12792. https://doi.org/10.3390/rs71012763

Chicago/Turabian Style

Krispel, Ulrich, Christoph Schinko, and Torsten Ullrich. 2015. "A Survey of Algorithmic Shapes" Remote Sensing 7, no. 10: 12763-12792. https://doi.org/10.3390/rs71012763

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