rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Vision Chips
  name:
    name part: Moini, Alireza.
    role:
      role term: creator
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2000
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xvii, 300 pages)
  abstract: Vision chips, or smart visual sensors, are those sensors that have integrated image acquisition and parallel processing, often at the pixel level, using dedicated analog and digital circuits. Vision Chips presents a systematic approach to the design and analysis of vision chips using analog VLSL. It presents algorithmic level implementation issues, from both the VLSI and computer vision points of view. It reviews the VLSI technologies and general analog VLSI design methodologies, in the context of suitability for vision chips. It describes chip-level architectural issues, including tessellation structures, pixel-processor interaction, and data read-out. It presents detailed analysis of building-blocks necessary in vision chips, including photodetectors, photocircuits, and spatial and temporal processing circuits. It addresses other important design issues, such as testing, digital noise, and mismatch. In addition Vision Chips reviews some of the past and existing implementations of smart vision sensors. It contains condensed information on more than fifty vision chips, designed by research laboratories all over the world. Novel and interesting features of each vision chip have been highlighted through informative diagrams and concise descriptions. This book is a valuable asset for researchers in the area, engineers working on the design of vision sensors, graduate students working in analog VLSI and vision, and computer vision and biological vision researchers and scientists.
  note: by Alireza Moini.
  note: Electronic resource.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer vision
  subject:
    topic: Computer engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer engineering
  subject:
    topic: Computer science
  subject:
    topic: Computer vision
  classification: T385
  classification: TA1637-1638
  classification: TK7882.P3
  classification: 006.6
  related item:
    title info:
      title: Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing ; 526
  identifier: 9781461552673 (electronic bk.)
  identifier: 1461552672 (electronic bk.)
  identifier: 9781461374022
  identifier: 1461374022
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422173639.6
    record identifier: in00003580023
    language of cataloging:
      language term: eng