11 December 1985 A High-Dimensionality Pattern Recognition Feature Space
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Proceedings Volume 0579, Intelligent Robots and Computer Vision IV; (1985) https://doi.org/10.1117/12.950807
Event: 1985 Cambridge Symposium, 1985, Cambridge, United States
Abstract
The use of optical Fourier transform and computer generated hologram (CGH) techniques allows a high-dimensionality feature space to be produced in parallel. By the proper coordinate transformation CGH, a position, rotation and shift invariant feature space results. The use of synthetic discriminant functions (SDF) and CGH techniques allows high-dimensionality of optical linear discriminant functions (LDFs) to be produced. These optical LDFs allow high-dimensionality and when designed by SDF techniques, 3-D distortion-invariance results. Initial simulation results using a ship image data base are presented.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Casasent, David Casasent, Hironobu Okuyama, Hironobu Okuyama, } "A High-Dimensionality Pattern Recognition Feature Space", Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950807; https://doi.org/10.1117/12.950807
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