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22 March 1996 Chords in wavelet projection transform space applied to aspect invariant pattern recognition
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Abstract
We describe a local projection transform that uses the discrete and continuous wavelet transforms to represent edge features over multiple scales. High order aspect invariant features are generated from chords in the transform space. A novel noise coding technique binds these features into a coherent pattern. This approach permits a reduction of the dimensionality of the information giving rise to lower processing requirements and thus permitting implementation of automatic target recognition (ATR) on conventional computer architectures.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph P. Garcia and Harold H. Szu "Chords in wavelet projection transform space applied to aspect invariant pattern recognition", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); https://doi.org/10.1117/12.235995
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