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Proceedings Paper

New signal postprocessing technique to 3D object distortion-invariant correlation recognition
Author(s): Rutong Hong; Renyuan Chen; En Hong
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Paper Abstract

The artificial neural network (ANN) technique was successfully used to make correlation signal post-processing of the real- time 3-D object intra-class distortion-invariant correlation recognition system. The Synthetic Discriminant Function (SDF) filtering technique was used to perform the distortion- invariant correlation. The real-time Spatial Light Modulator (SLM) was used as the scene input device and filter sequencer in the real-time optical correlator. The correlation signal post-processing results show that this technique was very effective to extract the signal from noise background of the correlation plane. In compared with the conventional recognition methods, the intra-class recognition possibility and reliability were improved greatly.

Paper Details

Date Published: 9 October 1998
PDF: 7 pages
Proc. SPIE 3466, Algorithms, Devices, and Systems for Optical Information Processing II, (9 October 1998); doi: 10.1117/12.326793
Show Author Affiliations
Rutong Hong, Southwest Institute of Technical Physics (China)
Renyuan Chen, Southwest Institute of Technical Physics (China)
En Hong, Southwest Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 3466:
Algorithms, Devices, and Systems for Optical Information Processing II
Bahram Javidi; Demetri Psaltis, Editor(s)

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