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Towards a Constraint Based Theory of Sensory Data Fusion

  • James J. Clark
  • Alan L. Yuille
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 105)

Abstract

We have observed that information acquisition is required by organisms in order to determine the state of the environment that they are operating in. What information is required is related to the activities that the organism undertakes. In order to obtain the required world information one must invert the world-image mapping. In general this mapping is non-invertible so that extra information must be added to constrain the space of world configurations sufficiently to allow a unique solution to be obtained.

Keywords

Data Fusion Markov Random Field Prior Constraint Prior Model Smoothness Constraint 
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 Science+Business Media New York 1990

Authors and Affiliations

  • James J. Clark
    • 1
  • Alan L. Yuille
    • 1
  1. 1.Division of Applied SciencesHarvard UniversityCambridgeUSA

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