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[Her76]  Graphical Input Through Machine Recognition of Sketches

Herot:1976:GIT (Article)
Author(s)Herot C.
Title« Graphical Input Through Machine Recognition of Sketches »
JournalACM SIGGRAPH Computer Graphics, Proceedings of ACM SIGGRAPH 76 (Philadelphia, PA, July 14--16, 1976)
Volume10
Number3
Page(s)97--102
Year1976
AddressNew York

Abstract
A family of programs has been developed to allow graphical input through continuous digitizing. Drawing data, sampled at a high and constant rate, is compressed and mapped into lines and splines, in two and three dimensions. This is achieved by inferring a particular user's intentions from measures of speed and pressure.Recent experiments have shown that even the most basic inference making cannot rely solely upon knowledge of the user's drawing style, but needs additional knowledge of the subject being drawn, the protocols of its domain, and the stage of development of the user's design. This requirement implies a higher level of machine intelligence than currently exists. An alternate approach is to increase the user's involvement in the recognition process.Contrary to previous efforts to move from sketch to mechanical drawing without human intervention, this paper reports on an interactive system for graphical input in which the user overtly partakes in training the machine and massaging the data at all levels of interpretation. The initial routines for data compression employ parallel functions for extracting such features as bentness, straightness, and endness. These are planned for implementation in microprocessors.Results offer a system for rapid (and enjoyable) graphical input with real-time interpretation, the beginnings of an intelligent tablet.

BibTeX code
@article{Herot:1976:GIT,
  optcitations = {},
  number = {3},
  month = jul,
  author = {Christopher F. Herot},
  optkey = {},
  series = CGPACS,
  localfile = {papers/Herot.1976.GIT.pdf},
  address = {New York},
  publisher = {ACM Press},
  doi = {http://doi.acm.org/10.1145/563274.563294},
  organization = {ACM SIGGRAPH},
  journal = SIGGRAPH76,
  volume = {10},
  title = {{G}raphical {I}nput {T}hrough {M}achine {R}ecognition of {S}ketches},
  abstract = {A family of programs has been developed to allow graphical input
              through continuous digitizing. Drawing data, sampled at a high and
              constant rate, is compressed and mapped into lines and splines, in
              two and three dimensions. This is achieved by inferring a
              particular user's intentions from measures of speed and
              pressure.Recent experiments have shown that even the most basic
              inference making cannot rely solely upon knowledge of the user's
              drawing style, but needs additional knowledge of the subject being
              drawn, the protocols of its domain, and the stage of development
              of the user's design. This requirement implies a higher level of
              machine intelligence than currently exists. An alternate approach
              is to increase the user's involvement in the recognition
              process.Contrary to previous efforts to move from sketch to
              mechanical drawing without human intervention, this paper reports
              on an interactive system for graphical input in which the user
              overtly partakes in training the machine and massaging the data at
              all levels of interpretation. The initial routines for data
              compression employ parallel functions for extracting such features
              as bentness, straightness, and endness. These are planned for
              implementation in microprocessors.Results offer a system for rapid
              (and enjoyable) graphical input with real-time interpretation, the
              beginnings of an intelligent tablet.},
  year = {1976},
  pages = {97--102},
}

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