Modeling Procedural Knowledge: A Generative Modeler for Cultural Heritage

Schinko, Christoph; Štrobl, Martin; Ullrich, Torsten; Fellner, Dieter W.

doi:10.1007/978-3-642-16873-4_12

Cited by 11 publications

(7 citation statements)

References 14 publications

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“…The concept of a meta-modeler allows a user to export generative models to other platforms without losing its main feature the procedural paradigm. It is well suited for generative content creation, has a beginner-friendly syntax and is able to generate and export procedural code for various, different generative modeling or rendering engines [Schinko et al 2010]. The source code cannot only be translated, it can also be interpreted ].…”

Section: Generative Modelingmentioning

confidence: 99%

A scalable rendering framework for generative 3D content

Schinko

Berndt

Eggeling

et al. 2014

Proceedings of the 19th International ACM Conference on 3D Web Technologies

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Delivering high quality 3D content through a web browser is still a challenge especially when intellectual property (IP) protection is necessary. Thus, the transfer of 3D modeling information to a client should be avoided. In our work we present a solution to this problem by introducing a server-side rendering framework. Only images are transferred to the client, the actual 3D content is not delivered. By providing simple proxy geometry it is still possible to provide direct interaction on the client. Our framework incorporates the Generative Modeling Language (GML) for the description and rendering of generative content. It is then possible to not only interact with the 3D content, but to modify the actual shape within the possibilities of the generative content. By introducing a control layer and encapsulating processing and rendering of the generative content in a so called GML Rendering Unit (GRU) it is possible to provide a scalable rendering framework

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Section: Generative Modelingmentioning

confidence: 99%

A scalable rendering framework for generative 3D content

Schinko

Berndt

Eggeling

et al. 2014

Proceedings of the 19th International ACM Conference on 3D Web Technologies

Self Cite

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“…As a consequence, prior knowledge, which may be available in form of specifications, standards and norms cannot be reused and the question what has been learned remains unanswered. Therefore, we chose a rule-based approach to represent knowledge (Schinko et al 2010). The main advantage of procedural modeling techniques is the included expert knowledge within an object description; e.g.…”

Section: Knowledge Managementmentioning

confidence: 99%

Data completion in building information management: electrical lines from range scans and photographs

Krispel

Evers²,

Tamke³

et al. 2017

Vis. in Eng.

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Background: The concept of building information management (BIM) is based on its holistic nature. This idea pays off, if all relevant information is fused into one consistent data set. As a consequence, the completeness of data is vital and the research question on how to complete data automatically remains open. Methods: In this article we present a data completion technique based on knowledge management. We encode expert and domain knowledge in a generative system that represents norms and standards in a machine-readable manner. The implementation of this approach be used to automatically determine a hypothesis on the location of electrical lines within indoor range scans. Results: The generative paradigm can encode domain expert knowledge in a machine-readable way. In this article we demonstrate its usage to represent norms and standards. Conclusions: The benefit of our method is the further completion of digital building information models -a necessary step to take full advantage of building information modeling.

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“…Parametric objects in BIM can include rules to automatically modify associated objects (e.g., a wall is changed when a door is placed in it) and for ensuring feasibility (e.g., regarding size and manufacturability) [109]. Such intelligent objects are similar to the idea of generative modeling, where a 3D object is described by the operations necessary to generate the object, rather than the result of these operations [110,111].…”

Section: Building Information Modelingmentioning

confidence: 99%

“…By using JavaScript, the inhibition threshold to use a programming language is reduced, resulting in a beginner-friendly tool with a high degree of usability [111]. RENÉ BERNDT et al present a system for the production of three-dimensional interactive illustrations in the domain of medieval castles [146].…”

Section: Cultural Heritagementioning

confidence: 99%

A Survey of Algorithmic Shapes

2015

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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.

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Modeling Procedural Knowledge: A Generative Modeler for Cultural Heritage

Cited by 11 publications

References 14 publications

A scalable rendering framework for generative 3D content

A scalable rendering framework for generative 3D content

Data completion in building information management: electrical lines from range scans and photographs

A Survey of Algorithmic Shapes

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