@InProceedings{SmithWelch89,
  title =        "{R}eal-{T}ime {T}ransputer {M}odels of a {L}ow-{L}evel {P}rimate {V}ision",
  author=        "Smith,  Andrew B. and Welch, Peter H.",
  editor=        "Wexler,  J.",
  pages =        "171--181",
  booktitle=     "{OUG}-11: {D}eveloping {T}ransputer {A}pplications",
  isbn=          "90 5199 020 0",
  year=          "1989",
  month=         "sep",
  abstract=      "It is believed from psychophysical experiments that human
     vision operates in two stages: a parallel preattentive stage
     which extracts simple visual features and a sequential
     attentive stage in which local features of the scene are
     analysed. A processing model of the early preattentive stage
     has been developed. This model is computationly intensive
     making it unsuitable for implementation on sequential
     computer architectures. The development of a real-time
     parallel transputer vision system based on this processing
     model is explained.The current implementation performs edge
     filtering over four separate resolution/field-of-view levels
     from 256 by 256 monochrome images. Eight T800-20 transputers
     deliver over 40 frames per second. The software — hardware
     architecture is scalable so as to support higher resolutions
     and additional features (such as auto-focusing, movement
     detection, and tracking) through the addition of extra
     transputers, whilst maintaining at least camera frame rates."
}