Symbolic approximation for computer vision
The need for a definition of discrete convergence in matching problems, which are essential in computer vision, is described and the fundamental properties of Scott lattice theory are outlined. Three data types: relational graphs, graph match_table and constraints, are considered and partial orderin...
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Format: | Article |
Language: | English |
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Vilnius University Press
1998-12-01
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Series: | Nonlinear Analysis |
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Online Access: | http://www.journals.vu.lt/nonlinear-analysis/article/view/15255 |
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author | Richard E. Blake |
author_facet | Richard E. Blake |
author_sort | Richard E. Blake |
collection | DOAJ |
description | The need for a definition of discrete convergence in matching problems, which are essential in computer vision, is described and the fundamental properties of Scott lattice theory are outlined. Three data types: relational graphs, graph match_table and constraints, are considered and partial orderings are exhibited for them. A matching iteration consistent with the theory is sketched. |
first_indexed | 2024-04-13T10:40:41Z |
format | Article |
id | doaj.art-b6b5f5e6c5ad4df88c8bbc4eec641f79 |
institution | Directory Open Access Journal |
issn | 1392-5113 2335-8963 |
language | English |
last_indexed | 2024-04-13T10:40:41Z |
publishDate | 1998-12-01 |
publisher | Vilnius University Press |
record_format | Article |
series | Nonlinear Analysis |
spelling | doaj.art-b6b5f5e6c5ad4df88c8bbc4eec641f792022-12-22T02:49:56ZengVilnius University PressNonlinear Analysis1392-51132335-89631998-12-01310.15388/NA.1998.3.0.15255Symbolic approximation for computer visionRichard E. Blake0Norwegian University of Science and Technology, NorwayThe need for a definition of discrete convergence in matching problems, which are essential in computer vision, is described and the fundamental properties of Scott lattice theory are outlined. Three data types: relational graphs, graph match_table and constraints, are considered and partial orderings are exhibited for them. A matching iteration consistent with the theory is sketched.http://www.journals.vu.lt/nonlinear-analysis/article/view/15255none |
spellingShingle | Richard E. Blake Symbolic approximation for computer vision Nonlinear Analysis none |
title | Symbolic approximation for computer vision |
title_full | Symbolic approximation for computer vision |
title_fullStr | Symbolic approximation for computer vision |
title_full_unstemmed | Symbolic approximation for computer vision |
title_short | Symbolic approximation for computer vision |
title_sort | symbolic approximation for computer vision |
topic | none |
url | http://www.journals.vu.lt/nonlinear-analysis/article/view/15255 |
work_keys_str_mv | AT richardeblake symbolicapproximationforcomputervision |