Range Data Processing

  • Yoshiaki Shirai
Part of the Symbolic Computation book series (SYMBOLIC)


This chapter describes range data processing for the extraction of three-dimensional features and building scene descriptions. In three-dimensional computer vision, the main purpose of feature extraction is to extract geometrical features from images. While extraction of those features from monocular images is not easy, that from range data is much more reliable because the geometry of a scene is directly related to range data.


Surface Element Range Data Global Region Edge Point Range Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • Yoshiaki Shirai
    • 1
  1. 1.Computer Vision Section, Computer Science DivisionElectrotechnical LaboratoryNiiharigun Ibaraki, 305Japan

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