Component Spaces For Invariant Pattern Recognition

Charles F. Hester

doi:10.1117/12.949032

7 March 1989 Component Spaces For Invariant Pattern Recognition

Charles F. Hester

Proceedings Volume 1005, Optics, Illumination, and Image Sensing for Machine Vision III; (1989) https://doi.org/10.1117/12.949032
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

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.

Citation Download Citation

Charles F. Hester "Component Spaces For Invariant Pattern Recognition", Proc. SPIE 1005, Optics, Illumination, and Image Sensing for Machine Vision III, (7 March 1989); https://doi.org/10.1117/12.949032

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