DatasetDelft Windmill Interior and Exterior Laser Scanning Point Clouds

?titleDelft Windmill Interior and Exterior Laser Scanning Point Clouds
?creatororcidBeril Sirmacek
?contributor3-D Geoinformation Research Group
?contributorAdriaan van Natijne
?contributorBen Gorte
?contributorEva Stierman
?contributorFilip Biljecki
?contributorJeroen Lichtenauer
?contributorJinhu Wang
?contributorJoppe Roebroeks
?contributorRoderik Lindenbergh
?contributorTU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing
?date accepted2015-06-30
?date created2015
?date published2015
Data set for the Urban Data Modelling and Visualisation (UDMV 2015) Contest: new window
The objective of this contest is to give opportunity to researchers to evaluate and share methods that they have developed for 3D modelling of complex urban structures.
The dataset ‘Delft Windmill Interior and Exterior Laser Scanning Point Clouds’ consists of a recent terrestrial LiDAR acquisition of a historical windmill in Delft (exterior and interior). Researchers are invited to develop the best use of this dataset, showcasing their work and interest. For instance, an idea would be to generate a full 3D model of the historical windmill using its exterior and interior laser scanning point clouds, or to develop a nice visualisation.
Contributing to the contest is open to researchers with expertise from various disciplines, such as but not limited to computer vision, remote sensing, 3D modelling, and visualisation.
The UDMV 2015 Contest is organised as a part of the 3rd Eurographics Workshop on Urban Data Modelling and Visualisation (UDMV), which will be held in Delft (Netherlands) in November 2015. The contest dataset is provided by TU Delft Library as an open public data set. The participation in this contest is FREE, and it does not entail a participation at the workshop (albeit it is encouraged).
?publisherDelft University of Technology
?subject3-D modelling ● Geoscience & Remote Sensing ● laser scanning ● point clouds ● urban structures
? ▲ in collection
?calculated from
Delftse Molen or Molen de Roos
Windmill laser scanning data,
point clouds are acquired for BSc Thesis of Joppe Roebroeks
The data includes generated mesh models from the point clouds as well.
Merging interior and exterior laser scanning point clouds of the historical windmill, completing the missing parts from airborne laser scanning data and trying different mesh generation methods for full 3D windmill model generation in order to be able to perform virtual visits in the future.
Background: “Molen de Roos” a mill located in Delft, a city in the western part of the Netherlands, is only one of the many old buildings in the Netherlands. More and more these buildings are degrading with respect to integrity, suffering from their age. Therefore it would be desired to look for ways to scan the building in order to find damaged areas. They can then be repaired before the building is being damaged beyond repair (or very expensively) or before even losing the entire building (through collapse). In the BSc thesis there is a focus on documentation of the precise building contour my means of laser scanning and processing the data into a 3D model. Detailed laser scanning makes it possible to map a large part of the surface area of the interior and exterior of mill in order to find flaws, direct damage or propagating damage over time.
This dataset is the raw data, not processed, not reduced in size. It does not contain any correction.
? ▲ in collection
?related publicationnew windowGenerating a full 3D Model of The Windmill (Molen de Roos): [bachelorThesis, Roebroeks, J., 2015]
?uses softwarenew windowCloudCompare - 3D point cloud and mesh processing software
?spatial coverage
?map-logomapMap [kml]
?related publicationnew windowAccuracy assessment of building point clouds automatically generated from iphone images (conference paper, 2014)
?related publicationnew windowAutomatic registration of iPhone images to laser point clouds of urban structures using shape features: [conferencePaper, Sirmacek, B.; Lindenbergh, R.C.; Menenti, M., 2013]
?uses softwarenew windowFugroViewer, viewer for the .xyz files
MD5: fbb4e2b11de1e7ef6557f74cfcd6c7e4size: 1708508854 (1.59 GB)
All data in one zip (1.7 GB) (application/zip - contains image/png, text/plain)
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