A High-Dimensionality Pattern Recognition Feature Space
David P. Casasent, Hironobu Okuyama · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1985
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.