Fourier-Transform Feature-Space Studies

David Casasent; Vinod Sharma

doi:10.1117/12.939217

16 February 1984 Fourier-Transform Feature-Space Studies

David Casasent, Vinod Sharma

Proceedings Volume 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls; (1984) https://doi.org/10.1117/12.939217
Event: 1983 Cambridge Symposium, 1983, Cambridge, United States

Abstract

A hierarchial multi-level feature-space pattern recognition system is described. Multi-class distortion-invariant object identification is the purpose of this study. Attention is given to dimensionality reduction (to simplify computations) and to the use of non-unitary transformations (to achieve discrimination). A Fourier transform feature space is used. However, our basic hierarchial concepts, our theoretical analysis, and our general conclusions are applicable to other feature spaces. The use of intensity versus phase features is studied and the performance of our system in the presence of noise is studied. Quantitative experimental data on 2 two-class pattern recognition databases are provided.

Citation Download Citation

David Casasent and Vinod Sharma "Fourier-Transform Feature-Space Studies", Proc. SPIE 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls, (16 February 1984); https://doi.org/10.1117/12.939217

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