• DocumentCode
    3596849
  • Title

    A CMOS imager with focal-plane computation for feature detection

  • Author

    Pesavento, A. ; Koch, Christof

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    3
  • fYear
    2001
  • Firstpage
    624
  • Abstract
    Feature detection and tracking is a fundamental problem in computer vision research. By detecting and tracking features in an image sequence it is possible to recover information about both the motion of the viewer and the structure of the environment. We designed, fabricated and tested a CMOS imager with analog VLSI focal-plane computation for feature detection. The chip implements a feature detection algorithm that is suitable for integration in a compact analog VLSI chip. We review the algorithm, its analog VLSI implementation and experimental results from the chip
  • Keywords
    CMOS image sensors; VLSI; analogue integrated circuits; computer vision; feature extraction; focal planes; CMOS imager; analog VLSI; computer vision; feature detection; focal-plane computation; tracking; Brightness; CMOS technology; Cameras; Computer vision; Detection algorithms; Eigenvalues and eigenfunctions; Image sequences; Motion detection; Streaming media; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.921388
  • Filename
    921388