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Closed
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Created Jul 19, 2014 by Sebastian Volke@volkeOwner

-RM-371-MR-Surface detection approach of Lari/Habib 2014

This approach describes the surface detection of Zahra Lari and Ayman Habib (2014). Paper: "An adaptive approach for the segmentation and extraction of planar andlinear/cylindrical features from laser scanning data", ISPRS Journal of Photogrammetry and Remote Sensing, 2014

Eventually the process covers also the linear and cylindrical feature segmentation but in our requirements only the planar segmentation is required. Steps:

  • Original laser point cloud as input data
  • PCA-based classification of planar features
  • Selection of appropriate representation models for the detected planar features
  • Local point density estimation along the detected planar features
  • Precise estimation of the planar features segmentation attributes
  • Parameter-domain segmentation and extraction of planar features
  • Boundary tracking for resolving the parameter-domain segmentation ambiguities of planar features
  • Extracted planar features in spatial domain

Estimations (Based on the paper because I haven't completely impelemented yet):

  • Fair segmentation results
  • Relatively slow

(from redmine: created on 2014-07-19, closed on 2015-03-14)

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