Grammatical methods in computer vision

<p> In computer vision, grammatical models are models that represent objects hierarchically as compositions of sub-objects. This allows us to specify rich object models in a standard Bayesian probabilistic framework. In this thesis, we formulate shape grammars, a probabilistic model of curve f...

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Bibliographic Details
Main Author: Purdy, Eric
Language:EN
Published: The University of Chicago 2013
Subjects:
Online Access:http://pqdtopen.proquest.com/#viewpdf?dispub=3557428