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:
Jun. 18, 2019

Filed:

Nov. 19, 2018
Applicant:

Original, Inc., San Francisco, CA (US);

Inventors:

Chong Jin Koh, San Francisco, CA (US);

Yu Sato, Kawasaki, JP;

Assignee:

Bodygram, Inc., Las Vegas, NV (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A41H 1/02 (2006.01); G06T 7/143 (2017.01); G06T 17/10 (2006.01); G06N 20/00 (2019.01); G06T 11/20 (2006.01);
U.S. Cl.
CPC ...
A41H 1/02 (2013.01); G06K 9/00369 (2013.01); G06N 20/00 (2019.01); G06T 7/143 (2017.01); G06T 11/203 (2013.01); G06T 17/10 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters from a user device; receiving at least one image from the user device, the at least one image containing the human and a background; performing body segmentation on the at least one image to extract one or more body features associated with the human from the background using a segmentation deep-learning network; generating annotation lines on the extracted body features using an annotation deep-learning network; generating body feature measurements of the one or more annotated body features utilizing a machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each extracted body feature. In one embodiment, the deep-learning algorithms are trained on manually-annotated human body size measurements.


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