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Planar homologies as a basis for grouping and recognition

Abstract:
This article discusses a specific class of planar projective transformations, planar homologies, and illustrates their importance for geometry based grouping operations. Indeed, planar homologies keep to pop up in several areas of computer vision. Two examples are given in the article: the analysis of planar shapes and their shadows and the detection of extruded shapes. The parameters that are needed to specify homologies are given, as well as their invariants. Since only 5 parameters are required, these invariants are simpler than general projective invariants. The work therefore further corroborates the existence of grouping-specific invariants. This article discusses a specific class of planar projective transformations, planar homologies, and illustrates their importance for geometry based grouping operations. Indeed, planar homologies keep to pop up in several areas of computer vision. Two examples are given in the article: the analysis of planar shapes and their shadows and the detection of extruded shapes. The parameters that are needed to specify homologies are given, as well as their invariants. Since only 5 parameters are required, these invariants are simpler than general projective invariants. The work therefore further corroborates the existence of grouping-specific invariants.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/s0262-8856(97)00046-2

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573


Publisher:
Elsevier
Journal:
Image and Vision Computing More from this journal
Volume:
16
Issue:
1
Pages:
21-26
Publication date:
1998-06-19
Acceptance date:
1997-05-12
DOI:
EISSN:
1872-8138
ISSN:
0262-8856


Language:
English
Pubs id:
61871
Local pid:
pubs:61871
Deposit date:
2024-07-31

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