• DocumentCode
    3191581
  • Title

    Active vision: 3D from an image sequence

  • Author

    Shmuel, Amir ; Werman, Michael

  • Author_Institution
    Dept. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel
  • Volume
    i
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    48
  • Abstract
    An approach to active depth perception using stereo methods is proposed. Active vision is characterized by gaze control for input-dependent data acquisition, coupled with a treatment of the reliability of the acquired information. An active solution is proposed for the task of computing 3D depth from an image sequence, where the camera can be controlled. After each phase of computation (between pictures), when information is still needed, the camera is placed in a new optimal position for the next picture. This process is repeated until sufficient accuracy is achieved. The proposed approach improves the ability to perform tasks in a noisy environment. The accuracy and reliability of solutions are improved, and the quantity of necessary data and computations is reduced
  • Keywords
    computer vision; computerised pattern recognition; computerised picture processing; spatial variables measurement; active depth perception; active vision; camera control; gaze control; image sequence; information reliability; input-dependent data acquisition; optimal camera positioning; stereo methods; Cameras; Computer science; Computer vision; Data acquisition; Focusing; Image sequences; Intelligent sensors; Layout; Robot vision systems; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.118063
  • Filename
    118063