DocumentCode
1316241
Title
Scene understanding by rule evaluation
Author
Blaschof, W.F. ; Caelli, Terry
Author_Institution
Dept. of Psychol., Alberta Univ., Edmonton, Alta., Canada
Volume
19
Issue
11
fYear
1997
fDate
11/1/1997 12:00:00 AM
Firstpage
1284
Lastpage
1288
Abstract
We consider how machine learning can be used to help solve the problem of identifying objects or structures composed of parts in complex scenes. We first discuss a conditional rule generation technique that is designed to describe structures using part attributes and their relations. We then show how the resultant rules can be used for region labeling and examine constraint propagation techniques for improving rule-based object classification
Keywords
constraint handling; image classification; learning (artificial intelligence); object recognition; complex scenes; conditional rule generation technique; constraint propagation techniques; machine learning; part attributes; region labeling; rule evaluation; rule-based object classification; scene understanding; Computer vision; Decision trees; Labeling; Layout; Logic programming; Machine learning; Object detection; Object recognition; Pattern recognition; Signal generators;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.632987
Filename
632987
Link To Document