ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume I-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 161–166, 2012
https://doi.org/10.5194/isprsannals-I-3-161-2012
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 161–166, 2012
https://doi.org/10.5194/isprsannals-I-3-161-2012

  20 Jul 2012

20 Jul 2012

MOVING WINDOW SEGMENTATION FRAMEWORK FOR POINT CLOUDS

G. Sithole1 and B. Gorte2 G. Sithole and B. Gorte
  • 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.