Biologically Inspired Recognition Model with Extension Fields.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/icip/Kalocsai97
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DBLP conf/icip/Kalocsai97
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DOI doi.org%2F10.1109%2FICIP.1997.638805
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1997
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Biologically Inspired Recognition Model with Extension Fields.
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450-453
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image recognition; biologically inspired recognition model; shape similarity measure; multiorientation Gabor filter; multiscale Gabor filter; human object recognition; complementary feature-deleted images; nonrecoverable contour-deleted image; recoverable contour-deleted image; connectivity pattern; primary visual cortex; collinear units; curvilinear units; recognition performance; recognition rate; human psychophysical results; noisy input image processing
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Biologically Inspired Recognition Model with Extension Fields.
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