A Semantic-Free Approach to 3-D Robot Color Vision

  • R. A. Jarvis
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 21)


This paper argues the case for approaching 3-D robot vision from the semantic-free end of the analysis spectrum with the immediate goal of making explicit the volumes and shapes occupying space, along with their surface properties, and in a form supportive of subsequent high level vision processing. Expedience and robustness are emphasized, with real time sensory-based robotic task environments in mind as the application domain.2


Robotic Manipulator Scene Analysis Robot Vision Laser Rangefinder Constant Fraction Discriminator 
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

© Kluwer Academic Publishers 1987

Authors and Affiliations

  • R. A. Jarvis
    • 1
    • 2
  1. 1.Department of Computer ScienceAustralian National UniversityAustralia
  2. 2.Department of Electrical EngineeringMonash UniversityVictoriaAustralia

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