New signal postprocessing technique to 3D object distortion-invariant correlation recognition

Rutong Hong; Renyuan Chen; En Hong

doi:10.1117/12.326793

9 October 1998 New signal postprocessing technique to 3D object distortion-invariant correlation recognition

Rutong Hong, Renyuan Chen, En Hong

Proceedings Volume 3466, Algorithms, Devices, and Systems for Optical Information Processing II; (1998) https://doi.org/10.1117/12.326793
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Rutong Hong, Renyuan Chen, and En Hong "New signal postprocessing technique to 3D object distortion-invariant correlation recognition", Proc. SPIE 3466, Algorithms, Devices, and Systems for Optical Information Processing II, (9 October 1998); https://doi.org/10.1117/12.326793

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