NEURAL NETWORK IMAGE REPRESENTATION

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United States of America Patent

SERIAL NO

15188729

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Abstract

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A method for representing an input image, the method including the steps of applying a trained neural network (NN) on the input image, selecting a plurality of feature maps, determining a location of each of the feature maps in an image space of the input image, defining a plurality of interest points of the input image, representing the input image as a graph according to the interest points and geometric relations between the interest points, and employing the graph for performing a visual task, the graph including a plurality of vertices and edges, and maintaining the data respective of the geometric relations, the feature maps being selected of an output of at least one selected layer of the trained NN according to values attributed to the feature maps by the trained NN, the interest points of the input image being defined based on the locations corresponding to the feature maps.

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Patent Owner(s)

Patent OwnerAddress
SUPERFISH LTD18 BEN GURION STREET P O B 299 GIVAT SHMUEL 54101

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
CHERTOK, Michael Raanana, IL 14 313
LORBERT, Alexander Givat Shmuel, IL 8 275
PINHAS, Adi Hod Hasharon, IL 11 171

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