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Authors: Harald Steinlechner ; Georg Haaser ; Stefan Maierhofer and Robert Tobler

Affiliation: VRVis Research Center, Austria

ISBN: 978-989-758-354-4

Keyword(s): Scenegraph, Attribute Grammar, Rendering Engine, Domain-Specific-Languages, Incremental Evaluation.

Abstract: Scene graphs, as found in many visualization systems are a well-established concept for modeling virtual scenes in computer graphics. State-of-the-art approaches typically issue appropriate draw commands while traversing the graph. Equipped with a functional programming mindset we take a different approach and utilize attribute grammars as a central concept for modeling the problem domain declaratively. Instead of issuing draw commands imperatively, we synthesize first class objects describing appropriate draw commands. In order to make this approach practical in the face of dynamic changes to the scene graph, we utilize incremental evaluation, and thereby avoid repeated evaluation of unchanged parts. Our application prototypically demonstrates how complex systems benefit from domain-specific languages, declarative problem solving and the implications thereof. Besides from being concise and expressive, our solution demonstrates a real-world use case of self-adjusting computation which elegantly extends scene graphs with well-defined reactive semantics and efficient, incremental execution. (More)

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Paper citation in several formats:
Steinlechner, H.; Haaser, G.; Maierhofer, S. and Tobler, R. (2019). Attribute Grammars for Incremental Scene Graph Rendering.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-354-4, pages 77-88. DOI: 10.5220/0007372800770088

@conference{grapp19,
author={Harald Steinlechner. and Georg Haaser. and Stefan Maierhofer. and Robert F. Tobler.},
title={Attribute Grammars for Incremental Scene Graph Rendering},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2019},
pages={77-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007372800770088},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - Attribute Grammars for Incremental Scene Graph Rendering
SN - 978-989-758-354-4
AU - Steinlechner, H.
AU - Haaser, G.
AU - Maierhofer, S.
AU - Tobler, R.
PY - 2019
SP - 77
EP - 88
DO - 10.5220/0007372800770088

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