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Martinez-Rubi, O. (author), Verhoeven, S. (author), Van Meersbergen, M. (author), Schûtz, M. (author), Van Oosterom, P. (author), Gonçalves, R. (author), Tijssen, T. (author)
Powered by WebGL, some renderers have recently become available for the visualization of point cloud data over the web, for example Plasio or Potree. We have extended Potree to be able to visualize massive point clouds and we have successfully used it with the second national Lidar survey of the Netherlands, AHN2, with 640 billion points. In...
conference paper 2015
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Van Oosterom, P.J.M. (author), Ravada, S. (author), Horhammer, M. (author), Martinez Rubi, O. (author), Ivanova, M. (author), Kodde, M. (author), Tijssen, T.P.M. (author)
Point cloud data are important sources for 3D geo-information. The point cloud data sets are growing in popularity and in size. Modern Big Data acquisition and processing technologies, such as laser scanning from airborne, mobile, or static platforms, dense image matching from photos, multi-beam echo-sounding, or from autotracking seismic data,...
conference paper 2014
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Vermeij, M. (author), Van Oosterom, P. (author), Quak, W. (author), Tijssen, T. (author)
conference paper 2003
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Van Oosterom, P.J.M. (author), C.W. Quak, C.W. (author), Tijssen, T.P.M. (author)
conference paper 2002
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Quak, W. (author), De Vries, M. (author), Tijssen, T. (author), Stoter, J. (author), Van Oosterom, P. (author)
conference paper 2002
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de Vries, M. (author), Tijssen, T.P.M. (author), Stoter, J.E. (author), Quak, W. (author), Van Oosterom, P.J.M. (author)
conference paper 2001
document
Van Oosterom, P.J.M. (author), Quak, C.W. (author), Tijssen, T.P.M. (author), Verbree, E. (author)
conference paper 2000
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