SYSTEM FOR FEATURELESS IMAGE CATEGORIZATION AND RECOGNITION USING UNSUPERVISED LEARNING
Systems, computer program products, and methods are described herein for image categorization and recognition using unsupervised learning. The present disclosure is configured to receive an unseen image; implement a first low pass filter on the unseen image to generate a first version of the unseen...
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Format: | Patent |
Sprache: | eng |
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Zusammenfassung: | Systems, computer program products, and methods are described herein for image categorization and recognition using unsupervised learning. The present disclosure is configured to receive an unseen image; implement a first low pass filter on the unseen image to generate a first version of the unseen image; implement a second low pass filter on the first version of the unseen image to generate a second version of the unseen image; determine a subset of the second version of the recorded images that matches the second version of the unseen image; retrieve a subset of first version of recorded images associated with the subset of second version of recorded images; and determine a first recorded image from the subset of the first version of the recorded images that matches the first version of the unseen image. |
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