SYSTEM FOR FEATURELESS IMAGE CATEGORIZATION AND RECOGNITION USING UNSUPERVISED LEARNING

Abstract: systems and methods are described for image categorization and recognition using unsupervised learning. the disclosure is configured to receive an unseen image; implement a first filter on the unseen image to generate a first version of the unseen image; implement a second 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. thereafter, retrieve a first set of responsive actions associated with the first recorded image and provide the first set of responsive actions to the device.

Inventor(s): Maharaj Mukherjee

CPC Classification: G06V10/75 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)

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