Continuous-scale-invariant pattern recognition with adaptive-wavelet-matched filters.
We designed and implemented a composite-wavelet-matched filter that is invariant to continuous-scale changes of the input and is useful for correlation-based pattern recognition of objects whose size is not known exactly. We optimize the adaptive wavelet to extract sparse image features and use the scale-space analysis to determine the wavelet scale for the scale invariance. Experimental results obtained by use of a programmable optical correlator with three liquid-crystal spatial light modulators are demonstrated.
Sheng
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Y
Centre d'Optique, Photonique et Laser, Département de Physique, Université Laval, Sainte-Foy, G1K 7P4 Québec, Canada. sheng@phy.ulaval.ca
Roberge
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