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- Document type:
- Forschungsdaten
- Publication date:
- 01.02.2022
- Responsible:
- Middleton, Wilfrid
- Authors:
- Middleton, Wilfrid ; Shu, Qiguan ; Ludwig, Ferdinand
- Author affiliation:
- TUM
- Publisher:
- TUM
- Title:
- Point Clouds of Living Architecture
- End date of data production:
- 01.01.2021
- Subject area:
- ARC Architektur
- Resource type:
- Abbildungen von Objekten / image of objects
- Other resource types:
- 3D point clouds models
- Data type:
- mehrdimensionale Visualisierungen oder Modelle / models
- Description:
- 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
- Method of data assessment:
- 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
- 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
- Key words:
- point clouds, voxel thinning, living architecture, living root bridges, skeletonisation, Baubotanik
- Technical remarks:
- 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/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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