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@COMMENT This file came from Alan K. Mackworth's publication pages at
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@Article{Perception76,
author = {Alan K. Mackworth},
title = {Model-Driven Interpretation in Intelligent Vision Systems},
year = {1976},
journal = {Perception},
volume = {5},
number = {3},
pages = {349--370},
abstract = {With a constructive knowledge-based theory of perception as its foundation, this paper
starts with a review and critique of some artificial-intelligence programs that purport to see. It is
then argued that these computer programs for scene analysis offer the hope of providing a more
adequate account of human competence in interpreting line drawings as polyhedra than do the
current psychological theories. This thesis has several aspects. The one emphasized here is that
those programs have explored a variety of methods of incorporating a priori knowledge of objects
through the use of models. After outlining the range of models used, presenting a set of criteria
for evaluating the use of model information, and sketching some psychological theories, the various
proposals are contrasted. This discussion leads to two new proposals for exploiting model
information that involve elaborations of an existing program, POLY.
},
bib2html_pubtype ={Refereed Journal},
bib2html_rescat ={computer Vision},
}