The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 19, 2021

Filed:

Jun. 02, 2017
Applicant:

Fujitsu Limited, Kawasaki, JP;

Inventors:

Avradip Mandal, Sunnyvale, CA (US);

Arnab Roy, Santa Clara, CA (US);

Hart Montgomery, Redwood City, CA (US);

Nilanjan Datta, Kolkata, IN;

Assignee:

FUJITSU LIMITED, Kawasaki, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/48 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06F 21/60 (2013.01);
U.S. Cl.
CPC ...
G06K 9/481 (2013.01); G06K 9/4642 (2013.01); G06K 9/6202 (2013.01); G06K 9/6215 (2013.01); G06K 9/6232 (2013.01); G06F 21/602 (2013.01); G06K 9/4671 (2013.01);
Abstract

A method may include extracting feature-data from an image which includes location data that indicates multiple locations within the image and multiple feature vectors that each correspond to one of the multiple locations. Each feature vector may represent a feature of an object in the image. The method may include determining a feature-data plot based on relative positions of the multiple locations and selecting a grid for the feature-data plot. The method may include generating a first representative feature vector for a first cell of the grid based on a first feature vector set and generating a second representative feature vector for a second cell of the grid based on a second feature vector set. The method may include generating a single feature vector that represents the object in the image based on the first representative feature vector and the second representative feature vector and encrypting the single feature vector.


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