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Proceedings Paper

Hierarchical symmetry segmentation
Author(s): Alan Laird; James Miller
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Paper Abstract

We give an introduction to the phenomenon ofsymmetry and briefly describe its importance to machine vision tasks. An algorithm is then presented which finds all axes of local symmetry builds these axes into the axes of subparts and then uses this new set of axes to approximate image features with symmetrical shapes. Finally a hierarchy of such axes is produced.

Paper Details

Date Published: 1 February 1991
PDF: 9 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25183
Show Author Affiliations
Alan Laird, Univ. of Strathclyde (United Kingdom)
James Miller, Univ. of Strathclyde (United Kingdom)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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