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Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
01.02.2022
Verantwortlich:
Middleton, Wilfrid
Autorinnen / Autoren:
Middleton, Wilfrid ; Shu, Qiguan ; Ludwig, Ferdinand
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Titel:
Point Clouds of Living Architecture
Enddatum der Datenerzeugung:
01.01.2021
Fachgebiet:
ARC Architektur
Quellen der Daten:
Abbildungen von Objekten / image of objects
Andere Quellen der Daten:
3D point clouds models
Datentyp:
mehrdimensionale Visualisierungen oder Modelle / models
Methode der Datenerhebung:
Agisoft Metashape (Standard edition) was used to create the point clouds from photographs CloudCompare was used to manipulate and save the data for use in skeletonisation
Beschreibung:
Point clouds resulting from photogrammetric surveys conducted in 2019. The Freiburg Baubotanik pavilion was planted in 2017 and surveyed using a DJI Mavic 2 Pro drone with a 20MP Hasselblad L1D-20C camera (1” sensor; 28mm, f/2.8–f/11 lens). The Baubotanik joint was is a pair of Platanus hispanica stems, grafted together and harvested at 7 years. The Ficus joint is a Ficus elastica anastomosis of unknown age, part of the living root ladder near Mawshun village in East Khasi Hills, Meghalaya, India. All three point clouds, along with others of the living root bridges in Meghalaya are used to demonstrate the skeletonisation algorithm presented in: Representing living architecture through skeleton reconstruction from point clouds by Middleton, Shu and Ludwig.

The code for the skeletonisation process can be found here: https://github.com/QiguanShu/skeleton-abstraction-of-point-cloud-by-voxel-thinning

Links:

Code: https://github.com/QiguanShu/skeleton-abstraction-of-point-cloud-by-voxel-thinning

This dataset relates to the publication: https://www.nature.com/articles/s41598-022-05194-y

Schlagworte:
point clouds, voxel thinning, living architecture, living root bridges, skeletonisation, Baubotanik
Technische Hinweise:
View and download (114 MB total, 2 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1637267):
rsync rsync://m1637267@dataserv.ub.tum.de/m1637267/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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