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Remote Sens. 2015, 7(10), 12763-12792; doi:10.3390/rs71012763

A Survey of Algorithmic Shapes

Fraunhofer Austria Research GmbH, Visual Computing & Technische Universität Graz, Inffeldgasse 16c, 8010 Graz, Austria
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.
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Academic Editors: Diego Gonzalez-Aguilera and Prasad S. Thenkabai
Received: 29 June 2015 / Revised: 11 September 2015 / Accepted: 15 September 2015 / Published: 28 September 2015
View Full-Text   |   Download PDF [9041 KB, uploaded 28 September 2015]   |  

Abstract

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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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Krispel, U.; Schinko, C.; Ullrich, T. A Survey of Algorithmic Shapes. Remote Sens. 2015, 7, 12763-12792.

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