• DocumentCode
    2041228
  • Title

    Improved Image Segmentation using Photonic Mixer Devices

  • Author

    Wallhoff, Frank ; Russ, Martin ; Rigoll, Gerhard ; Göbel, Johann ; Diehl, Hermann

  • Author_Institution
    Tech. Univ. Munchen, Munich
  • Volume
    6
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    Aiming at improving image segmentation and extending regular computer vision algorithms an image sensor, acquiring additional depth information is deployed. The novel photonic mixer device (PMD) technology was summarized, by which it becomes possible to measure the observed object´s distance to the camera. Motivated by expanding and making existing image processing and segmentation algorithms more robust, the additional depth information is overlapped with the image map gained by a regular camera system. Due to the fact of the used cameras are displaced and have different image resolutions, a sophisticated calibration algorithm was introduced. By applying improved algorithms to applications, such as people counting, gesture recognition, and barrier detection its effectiveness was shown.
  • Keywords
    calibration; distance measurement; gesture recognition; image resolution; image segmentation; image sensors; signal processing equipment; three-dimensional displays; barrier detection; camera; computer vision algorithms; gesture recognition; image processing; image resolutions; image segmentation; image sensor; object distance measurement; people counting; photonic mixer device technology; photonic mixer devices; sophisticated calibration algorithm; Calibration; Cameras; Computer vision; Image processing; Image resolution; Image segmentation; Image sensors; Optical surface waves; Optoelectronic and photonic sensors; Signal processing algorithms; 3D Surveillance; Barrier Detection; Computer Vision; Gesture Recognition; People Counting; Photonic Mixer Device; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379519
  • Filename
    4379519