Semantizing Complex 3D Scenes using Constrained Attribute Grammars

We propose a new approach to automatically semantize complex objects in a 3D scene. For this, we define an expressive formalism combining the power of both attribute grammars and constraint. It offers a practical conceptual interface, which is crucial to write large maintainable specifications. As r...

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Bibliographic Details
Published in:	Computer graphics forum Vol. 32; no. 5; pp. 33 - 42
Main Authors:	Boulch, A., Houllier, S., Marlet, R., Tournaire, O.
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01.08.2013 Wiley
Subjects:	3-D graphics Artificial Intelligence Automation Collection Computer aided design Computer graphics Computer Science Computer Vision and Pattern Recognition Forests Formalism Grammars I.2.10 [Artificial Intelligence]: Vision and Scene Understanding-D/stereo scene analysis I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Object hierarchies I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Object recognition I.5.4 [Pattern Recognition]: Applications-Computer vision Lidar Specifications Studies Three dimensional United States > US constrained attribute grammars building information model (BIM) LIDAR semantics laser scan
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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