• DocumentCode
    2079140
  • Title

    On integration of vision modules

  • Author

    Pankanti, Sharath ; Jain, Anil K. ; Tuceryan, Mihran

  • Author_Institution
    Pattern Recognition & Image Process. Lab., Michigan State Univ., East Lansing, MI, USA
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    316
  • Lastpage
    322
  • Abstract
    Individual cues from visual modules are fallible and often ambiguous. As a result, only integrated vision systems can be expected to give a reliable performance in practice. The design of such systems is challenging since each vision module works under different and possibly conflicting sets of assumptions. We have proposed and implemented a multiresolution system which integrates perceptual grouping, segmentation, stereo, shape from shading, and line labelling modules. The output of the integrated system is shown to be relatively insensitive to the constraints imposed by the individual modules
  • Keywords
    computer vision; image segmentation; stereo image processing; image segmentation; line labelling modules; multiresolution system; perceptual grouping; performance; shape from shading; stereo vision; vision modules integration; Image segmentation; Machine vision; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323846
  • Filename
    323846