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Author  |
Demantké, Jérome; Mallet, Clément; David, Nicolas; Vallet, Bruno |
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Title |
Dimensionality Based Scale Selection in 3D LIDAR Point Clouds |
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Conference Article |
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Year |
2011 |
Publication |
Proceedings of ISPRS Workshop Laser Scanning 2011 |
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Issue |
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Pages |
97-102 |
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Keywords |
point cloud; adaptive neighborhood; scale selection; multi-scale analysis; feature; PCA; eigenvalues; dimensionality |
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Abstract |
This papers presents a multi-scale method that computes robust geometric features on lidar point clouds in order to retrieve the optimal neighborhood size for each point. Three dimensionality features are calculated on spherical neighborhoods at various radius sizes. Based on combinations of the eigenvalues of the local structure tensor, they describe the shape of the neighborhood, indicating whether the local geometry is more linear (1D), planar (2D) or volumetric (3D). Two radius selection criteria have been tested and compared for finding automatically the optimal neighborhood radius for each point. Besides, such procedure allows a dimensionality labelling, giving significant hints for classification and segmentation purposes. The method is successfully applied to 3D point clouds from airborne, terrestrial, and mobile mapping systems since no a priori knowledge on the distribution of the 3D points is required. Extracted dimensionality features and labellings are then favorably compared to those computed from constant size neighborhoods. |
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Publisher |
ISPRS |
Place of Publication |
Calgary,Canada |
Editor |
Lichti, Derek D.; Habib, Ayman F. |
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Original Title |
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Series Editor |
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Series Title |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Abbreviated Series Title |
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. |
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Series Volume |
XXXVIII-5/W12 |
Series Issue |
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Edition |
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ISSN |
1682-1777 |
ISBN |
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Expedition |
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Conference |
ISPRS Workshop Laser Scanning 2011 |
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Notes |
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Approved |
yes |
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Call Number |
UCF @ kdamkjer @ Demantké_2011 |
Serial |
26 |
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