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From Point Clouds to Definitions of Architectural Space
Abstract
Regarding interior building topology as an important aspect in building design and management, several approaches to indoor point cloud structuring have been introduced recently. Apart from a high-level semantic segmentation of the formerly unstructured point clouds into stories and rooms, these methods additionally allow the extraction of attributed graphs in which nodes represent rooms (including room properties like area or height), and edges represent connections between rooms (doors or staircases) or indicate neighborhood relationships (separation by walls). In this paper, we investigate possible applications of these approaches in architectural design and building management and comment on the possible benefits for the building profession. While contemporary practice of spatial arrangement is predominantly based on the manual iteration of spatial topologies, we show that the segmentation of buildings in spaces along with the untraditional more abstract graph-based representations can be used for design, management and navigation within building structures.
Full paper at CUMINCAD: From Point Clouds to Definitions of Architectural Space
Bilder
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Bibtex
@INPROCEEDINGS{tamke-2014-from,
author = {Tamke, Martin and Bl{\"u}mel, Ina and Ochmann, Sebastian and Vock, Richard and Wessel, Raoul},
pages = {557--566},
title = {From Point Clouds to Definitions of Architectural Space},
booktitle = {Fusion - 32nd International Conference on Education and research in Computer Aided Architectural
Design in Europe},
series = {eCAADe: Conferences},
volume = {2},
year = {2014},
month = sep,
publisher = {Northumbria University},
organization = {Northumbria University},
address = {Newcastle upon Tyne, UK},
howpublished = {To appear in Proceedings of the 32nd eCAADe Conference},
abstract = {Regarding interior building topology as an important aspect in building design and management,
several approaches to indoor point cloud structuring have been introduced recently. Apart from a
high-level semantic segmentation of the
formerly unstructured point clouds into stories and rooms, these methods additionally allow the
extraction of attributed graphs in which nodes represent rooms (including room properties like area
or height), and edges represent connections between rooms (doors or staircases) or indicate
neighborhood relationships (separation by walls). In this paper, we investigate possible
applications of these approaches in architectural design and building
management and comment on the possible benefits for the building profession. While contemporary
practice of spatial arrangement is predominantly based on the manual iteration of spatial
topologies, we show that the segmentation of buildings in spaces along with the untraditional more
abstract graph-based representations can be used for design, management and navigation within
building structures.}
}