Randomization-based hierarchical and associatively assisted vector learning for machine vision
AssigneeUnited States of America as represented by the Secretry of the Navy
InventorStuart Harvey Rubin
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AssigneeUnited States of America as represented by the Secretry of the Navy
InventorStuart Harvey Rubin
Estimating the term…
An object in a digital image is automatically recognized by obtaining the digital image, generating a first vector representation of a plurality of pixels of the obtained digital image, randomizing the first vector representation to generate a first generalized vector representation of the digital image that is substantially an order of magnitude smaller than the first vector representation, and searching a repository of hierarchically generalized vector representations of previously recognized digital images, to determine whether the first generalized vector representation of the digital image matches one or more of the previously recognized digital images, within a predetermined threshold value, based on determining a focus area within the obtained digital image, using associative memory.
A method comprising:
A system comprising:
A non-transitory computer-readable storage medium storing instructions that are executable by at least one hardware device processor to automatically recognize an object in a digital image by:
Dependencies are inferred from the claim text.