ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 193-200, 2016
https://doi.org/10.5194/isprs-annals-III-3-193-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
03 Jun 2016
POLE-LIKE STREET FURNITURE DECOMPOSTION IN MOBILE LASER SCANNING DATA
F. Li, S. Oude Elberink, and G. Vosselman Faculty of Geo-Information Science and Earth Observation, University of Twente, Twente, the Netherlands
Keywords: Street Furniture Decomposition, 2D Point Density, RANSAC, Slice Cutting, Mobile Laser Scanning, Point cloud Abstract. Automatic semantic interpretation of street furniture has become a popular topic in recent years. Current studies detect street furniture as connected components of points above the street level. Street furniture classification based on properties of such components suffers from large intra class variability of shapes and cannot deal with mixed classes like traffic signs attached to light poles. In this paper, we focus on the decomposition of point clouds of pole-like street furniture. A novel street furniture decomposition method is proposed, which consists of three steps: (i) acquirement of prior-knowledge, (ii) pole extraction, (iii) components separation. For the pole extraction, a novel global pole extraction approach is proposed to handle 3 different cases of street furniture. In the evaluation of results, which involves the decomposition of 27 different instances of street furniture, we demonstrate that our method decomposes mixed classes street furniture into poles and different components with respect to different functionalities.
Conference paper (PDF, 1088 KB)


Citation: Li, F., Oude Elberink, S., and Vosselman, G.: POLE-LIKE STREET FURNITURE DECOMPOSTION IN MOBILE LASER SCANNING DATA, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 193-200, https://doi.org/10.5194/isprs-annals-III-3-193-2016, 2016.

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