DocumentCode :
3201528
Title :
Knowledge-based understanding of road maps and other line images
Author :
Ilg, Markus
Author_Institution :
IKT/Image Sci. Lab., ETH-Zentrum, Zurich, Switzerland
Volume :
i
fYear :
1990
fDate :
16-21 Jun 1990
Firstpage :
282
Abstract :
It is shown that the understanding of documents in general and of line drawings in particular can be seen as a first step towards the the understanding of arbitrary scenes by making effective use of methods from artificial intelligence. The starting point is a set of domain-independent linear image primitives which define a line graph. After the removal of artifacts the recognition of meaningful complex structures is accomplished in several steps with the aid of a growing amount of domain-specific knowledge. Further scene knowledge controls the deployment of the various operators to arrive at a consistent interpretation throughout the scene. The selection of the object-oriented programming paradigm proved to be very effective
Keywords :
computerised pattern recognition; knowledge based systems; object-oriented programming; artificial intelligence; domain-independent linear image primitives; domain-specific knowledge; knowledge-based understanding; line graph; line images; object-oriented programming; road maps; scene knowledge; Artificial intelligence; Automatic control; Computer vision; Image edge detection; Laboratories; Layout; Object oriented programming; Roads; Text analysis; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
Type :
conf
DOI :
10.1109/ICPR.1990.118113
Filename :
118113
Link To Document :
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