Roof plane segmentation by combining multiple images and point clouds

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Rottensteiner, Franz: Roof plane segmentation by combining multiple images and point clouds. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [PCV 2010 - Photogrammetric Computer Vision And Image Analysis, Pt I] 38 (2010), Nr. Part 3A, S. 245-250. DOI:

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1140

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Sum total of downloads: 187




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Abstract: 
A new method for roof plane detection using multiple aerial images and a point cloud is presented. It takes advantage of the fact that segmentation results for different views look different even if the same parameters are used for the original segmentation algorithm. The point cloud can be generated by image matching or by airborne laserscanning. Plane detection starts by a segmentation that is applied to each of the images. The point cloud is used to determine which image segments correspond to planes. The best plane according to a criterion is selected and matched with segments in the other images. Matching of segments requires a DSM generated from the point cloud, and it takes into account the occlusions in each image. This procedure is repeated until no more planes can be found. After that, planar segments are extracted based on region growing in the point cloud in areas of severe under-segmentation, and the multiple-image segmentation procedure is repeated. Finally, neighbouring regions found to be co-planar are merged. First results are presented for test site with up to nine-fold overlap. Our tests show that the method can deliver a good separation of roof planes under difficult circumstances, though the level of detail that can be achieved is limited by the resolution of the point cloud.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 93 49.73%
2 image of flag of United States United States 23 12.30%
3 image of flag of Netherlands Netherlands 13 6.95%
4 image of flag of China China 11 5.88%
5 image of flag of Taiwan Taiwan 5 2.67%
6 image of flag of Turkey Turkey 4 2.14%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 4 2.14%
8 image of flag of Slovakia Slovakia 3 1.60%
9 image of flag of Russian Federation Russian Federation 3 1.60%
10 image of flag of Brazil Brazil 3 1.60%
    other countries 25 13.37%

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