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9 October 1998 New signal postprocessing technique to 3D object distortion-invariant correlation recognition
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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