Hierarchical symmetry segmentation

Alan Laird; James Miller

doi:10.1117/12.25183

1 February 1991 Hierarchical symmetry segmentation

Alan Laird, James Miller

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25183
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

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.

Citation Download Citation

Alan Laird and James Miller "Hierarchical symmetry segmentation", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25183

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