Model-based three dimensional interpretations of two dimensional images

  • Authors:

  • Rodney A. Brooks

  • Affiliations:

  • Artificial Intelligence Laboratory, Stanford University, Stanford, CA

  • Venue:
  • IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
  • Year:
  • 1981

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Abstract

ACRONYM IS a comprehensive domain independent model-based system for vision and manipulation related tasks. Many of its sub-modules and representations have been described elsewhere. Here the derivation and use of invariants for image feature prediction is described. We describe how predictions of image features and their relations are made and how instructions are generated which tell the interpretation algorithms how to make use of image feature measurments to derive three dimensional sizes and structural and spatial constraints on the original three-dimensional models. Some preliminary examples of ACRONYM'S interpretations of aerial images are shown.