ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 161-166, 2012
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-3/161/2012/
doi:10.5194/isprsannals-I-3-161-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
20 Jul 2012
MOVING WINDOW SEGMENTATION FRAMEWORK FOR POINT CLOUDS
G. Sithole1 and B. Gorte2 1Geomatics Division, School of Architecture, Planning and Geomatics, University of Cape Town, Private Bag X3, Rondebosch, 7701, South Africa
2Optical and Laser Remote Sensing, Delft University of Technology, P.O.Box 5058, 2600GB Delft, The Netherlands
Keywords: Algorithm, Segmentation, Lidar, Point Cloud Abstract. As lidar point clouds become larger streamed processing becomes more attractive. This paper presents a framework for the streamed segmentation of point clouds with the intention of segmenting unstructured point clouds in real-time. The framework is composed of two main components. The first component segments points within a window shifting over the point cloud. The second component stitches the segments within the windows together. In this fashion a point cloud can be streamed through these two components in sequence, thus producing a segmentation. The algorithm has been tested on airborne lidar point cloud and some results of the performance of the framework are presented.
Conference paper (PDF, 1119 KB)


Citation: Sithole, G. and Gorte, B.: MOVING WINDOW SEGMENTATION FRAMEWORK FOR POINT CLOUDS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 161-166, doi:10.5194/isprsannals-I-3-161-2012, 2012.

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