The Bayesian draughtsman: A model for visuomotor coordination in drawing

Ruben Coen Cagli, Paolo Coraggio, Paolo Napoletano, Giuseppe Boccignone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand movement generation, during the drawing task. Starting from some background assumptions suggested by eye-tracking human subjects, we formulate a Bayesian model of drawing activity. The resulting graphical model is shaped in the form of a Dynamic Bayesian Network that combines features of both the Input-Output Hidden Markov Model and the Coupled Hidden Markov Model, and provides an interesting insight on mechanisms for dynamic integration of visual and proprioceptive information.

Original languageEnglish (US)
Title of host publicationAdvances in Brain, Vision, and Artificial Intelligence - Second International Symposium, BVAI 2007, Proceedings
Pages161-170
Number of pages10
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event2nd International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2007 - Naples, Italy
Duration: Oct 10 2007Oct 12 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4729 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2007
CountryItaly
CityNaples
Period10/10/0710/12/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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