Acquisition and Automatic Characterization of Scenes - From Point Clouds to Features and Objects

Martin Weinmann, Michael Weinmann, Franz Rottensteiner und Boris Jutzi
ISPRS Congress 2016 Tutorial, 2016
 

Abstract

The adequate acquisition and analysis of a scene are of great interest for photogrammetry, remote sensing and computer vision. In the scope of this tutorial, we will address four major issues in this regard. The first part of the tutorial will give an introduction on active optical sensing (laser scanning, range imaging) and processing techniques to gain a basic surface description by labeled 3D points. The second part of the tutorial will focus on geometry and reflectance acquisition and provide both fundamentals and recent advances in these domains with examples for various applications. The third part of the tutorial will focus on a semantic interpretation of point cloud data and thereby address all components of a typical processing workflow. The forth part of the tutorial will focus on a context-based classification of point cloud data and cover topics reaching from the fundamentals of graphical models to the adaptation of such graphical models to point cloud data.

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Bibtex

@MISC{weinmann-2016-ISPRSCongressTutorial,
        author = {Weinmann, Martin and Weinmann, Michael and Rottensteiner, Franz and Jutzi, Boris},
         title = {Acquisition and Automatic Characterization of Scenes - From Point Clouds to Features and Objects},
     booktitle = {XXIII ISPRS Congress Tutorial (to appear in)},
          year = {2016},
  howpublished = {ISPRS Congress 2016 Tutorial},
      abstract = {The adequate acquisition and analysis of a scene are of great interest for photogrammetry, remote
                  sensing and computer vision. In the scope of this tutorial, we will address four major issues in
                  this regard. The first part of the tutorial will give an introduction on active optical sensing
                  (laser scanning, range imaging) and processing techniques to gain a basic surface description by
                  labeled 3D points. The second part of the tutorial will focus on geometry and reflectance
                  acquisition and provide both fundamentals and recent advances in these domains with examples for
                  various applications. The third part of the tutorial will focus on a semantic interpretation of
                  point cloud data and thereby address all components of a typical processing workflow. The forth part
                  of the tutorial will focus on a context-based classification of point cloud data and cover topics
                  reaching from the fundamentals of graphical models to the adaptation of such graphical models to
                  point cloud data.}
}