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1 October 1984 Feature Extractors For Distortion-Invariant Robot Vision
David Casasent, Vinod Sharma
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Optical Engineering, Vol. 23, Issue 5, 235492 (October 1984). https://doi.org/10.1117/12.7973327
Abstract
Various feature extractors/classifiers for a hierarchical feature-space pattern recognition system are described. The system is intended to achieve multiclass distortion-invariant object identification. Although only a Fourier transform feature space is used, our basic hierarchical concepts, our theoretical analysis, and our general conclusions are applicable to other feature spaces. The performance using intensity and phase Fourier transform features and the performance in the presence of noise are studied and quantified for two different two-class pattern recognition data bases.
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David Casasent and Vinod Sharma "Feature Extractors For Distortion-Invariant Robot Vision," Optical Engineering 23(5), 235492 (1 October 1984). https://doi.org/10.1117/12.7973327
Published: 1 October 1984
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KEYWORDS
Robot vision
Fourier transforms
Pattern recognition
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