Statistical Visual Language Models for Ink Parsing

  title={Statistical Visual Language Models for Ink Parsing},
  author={Michael Shilman and Hanna M. Pasula and Stuart Russell and Richard Newton},
In this paper we motivate a new technique for automatic recognition of hand-sketched digital ink. By viewing sketched drawings as utterances in a visual language, sketch recognition can be posed as an ambiguous parsing problem. On this premise we have developed an algorithm for ink parsing that uses a statistical model to disambignate. Under this formulation, writing a new recognizer for a visual language is as simple as writing a declarative grammar fo the language, generating a model from the… CONTINUE READING
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