Suter, G. (2023). Feature-Based Decomposition of Architectural Spaces: Outline of a Procedure and Research Challenges. In S. Skatulla & H. Beushausen (Eds.), Advances in Information Technology in Civil and Building Engineering. ICCCBE 2022 (pp. 443–456). https://doi.org/10.1007/978-3-031-32515-1_31
E259-01 - Forschungsbereich Digitale Architektur und Raumplanung
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Published in:
Advances in Information Technology in Civil and Building Engineering. ICCCBE 2022
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ISBN:
978-3-031-32515-1
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Volume:
358
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Date (published):
2023
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Event name:
19th Int'l Conference on Computing in Civil and Building Engineering
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Event date:
26-Oct-2022 - 28-Oct-2022
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Event place:
Cape Town, South Africa
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Number of Pages:
14
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Keywords:
Building information modeling; Feature recognition; Space modeling; Volume decomposition
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Abstract:
Space modeling is a key activity in building design that is supported by BIM authoring systems. However, decomposing spaces with specific properties, such as spaces with non-convex volumes, into disjoint partial spaces, or sub-spaces, is a manual and non-trivial task. This study identifies the need for automated 3d space decomposition methods. Informed by a review of related space and shape decomposition methods, the problem scope for feature-based space decomposition is defined. A procedure is outlined that addresses this problem. The procedure recursively decomposes a space into sub-spaces using cutting operations derived from recognized features. The decomposition of a (sub-)space ends if it meets decomposition goals or if no features are recognized. The procedure is divided into space evaluation, feature recognition, and space cutting phases. The recursive decomposition of a space may be represented as a tree where nodes correspond to iterations of the procedure and edges to sub-spaces. Research challenges related to architectural feature taxonomies, feature recognition, and cutting operations are identified.
