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:
Apr. 13, 2021

Filed:

Mar. 29, 2019
Applicant:

Fuji Xerox Co., Ltd., Tokyo, JP;

Inventors:

Chelhwon Kim, Palo Alto, CA (US);

Chidansh Amitkumar Bhatt, Mountain View, CA (US);

Miteshkumar Patel, San Jose, CA (US);

Donald Kimber, Foster City, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); H04W 4/33 (2018.01); G06N 3/08 (2006.01); H04N 5/247 (2006.01); G06F 16/587 (2019.01); G06F 16/532 (2019.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/629 (2013.01); G06F 16/532 (2019.01); G06F 16/587 (2019.01); G06K 9/00771 (2013.01); G06K 9/6232 (2013.01); G06N 3/08 (2013.01); H04N 5/247 (2013.01); H04W 4/33 (2018.02);
Abstract

A computer-implemented method of localization for an indoor environment is provided, including receiving, in real-time, a dynamic query from a first source, and static inputs from a second source; extracting features of the static inputs by applying a metric learning convolutional neural network (CNN), and aggregating the extracted features of the static inputs to generate a feature transformation; and iteratively extracting features of the dynamic query on a deep CNN as an embedding network and fusing the feature transformation into the deep CNN, and applying a triplet loss function to optimize the embedding network and provide a localization result.


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