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Proceedings Paper

Component Spaces For Invariant Pattern Recognition
Author(s): Charles F. Hester
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Paper Abstract

Pattern recognition filters that are invariant to image distortion, scale, rotation and structural noise have been demonstrated using the synthetic discriminant function (SDF) approach. A new method of developing invariant recognition filters based on the SDF and subspaces of the object space is developed. These filters are suggested as a technique to provide components for filters that contain contextual information. Demonstration of the technique using a simple example is provided.

Paper Details

Date Published: 7 March 1989
PDF: 5 pages
Proc. SPIE 1005, Optics, Illumination, and Image Sensing for Machine Vision III, (7 March 1989); doi: 10.1117/12.949032
Show Author Affiliations
Charles F. Hester, Teledyne Brown Engineering (United States)


Published in SPIE Proceedings Vol. 1005:
Optics, Illumination, and Image Sensing for Machine Vision III
Donald J. Svetkoff, Editor(s)

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