DocumentCode
1116918
Title
Hierarchical Constraint Processes for Shape Analysis
Author
Davis, Larry S. ; Henderson, Thomas C.
Author_Institution
MEMBER, IEEE, Department of Computer Sciences, University of Texas, Austin, TX 78712.
Issue
3
fYear
1981
fDate
5/1/1981 12:00:00 AM
Firstpage
265
Lastpage
277
Abstract
A major application of syntactic pattern recognition is the analysis of two-dimensional shape. This paper describes a new syntactic shape analysis technique which combines the constraint propagation techniques which have been so successful in computer vision with the syntactic representation techniques which have been successfully applied to a wide variety of shape analysis problems. Shapes are modeled by stratified shape grammars. These grammars are designed so that local constraints can be compiled from the grammar describing the appearance of pieces of shape at various levels of description. Applications to the analysis of airplane shapes are presented.
Keywords
Airplanes; Application software; Computer vision; Engines; Image segmentation; Labeling; Pattern analysis; Pattern recognition; Pixel; Shape; Artificial intelligence; relaxation procedure; shape recognition; syntactic pattern recognition;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1981.4767099
Filename
4767099
Link To Document