• DocumentCode
    3374427
  • Title

    Activity-driven, event-based vision sensors

  • Author

    Delbrück, Tobi ; Linares-Barranco, Bernabe ; Culurciello, Eugenio ; Posch, Christoph

  • Author_Institution
    Inst. of Neuroinformatics, UNI-ETH Zurich, Zürich, Switzerland
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    2426
  • Lastpage
    2429
  • Abstract
    The four chips presented in the special session on "Activity-driven, event-based vision sensors" quickly output compressed digital data in the form of events. These sensors reduce redundancy and latency and increase dynamic range compared with conventional imagers. The digital sensor output is easily interfaced to conventional digital post processing, where it reduces the latency and cost of post processing compared to imagers. The asynchronous data could spawn a new area of DSP that breaks from conventional Nyquist rate signal processing. This paper reviews the rationale and history of this event-based approach, introduces sensor functionalities, and gives an overview of the papers in this session. The paper concludes with a brief discussion on open questions.
  • Keywords
    data compression; image sensors; Nyquist rate signal processing; asynchronous data; compressed digital data; digital sensor; event based vision sensor; Biology computing; Biosensors; Delay; Dynamic range; History; Image sensors; Machine vision; Neuromorphics; Optical sensors; Retina;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537149
  • Filename
    5537149