• DocumentCode
    1286611
  • Title

    Active perception

  • Author

    Bajcsy, Ruzena

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    76
  • Issue
    8
  • fYear
    1988
  • fDate
    8/1/1988 12:00:00 AM
  • Firstpage
    966
  • Lastpage
    1005
  • Abstract
    Active perception (active vision specifically) is defined as a study of modeling and control strategies for perception. Local methods are distinguished from global models by their extent of application in space and time. The local models represent procedures and parameters such as optical distortions of the lens, focal lens, spatial resolution, bandpass filter, etc, The global models, on the other hand, characterize the overall performance and make predictions on how the individual modules interact. The control strategies are formulated as a search of such sequences of steps that would minimize a loss function while still seeking the most information. Examples are shown as the existence proof of the proposed theory on obtaining range from focus and stereo/vergence on 2-D segmentation of an image and 3-D shape parameterization
  • Keywords
    computer vision; 2-D segmentation; 3-D shape parameterization; active vision; global models; local models; obtaining range; optical distortions; overall performance; stereo convergence; Band pass filters; Eyes; Feedback; Focusing; Image segmentation; Lenses; Optical distortion; Optical losses; Predictive models; Shape; Spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/5.5968
  • Filename
    5968