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:
Nov. 15, 2022

Filed:

Apr. 15, 2019
Applicant:

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

Inventors:

Chong Jin Koh, Las Vegas, NV (US);

Yu Sato, Kawasaki, JP;

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/10 (2022.01); 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); G06N 20/00 (2019.01); G06T 7/143 (2017.01); G06T 11/203 (2013.01); G06T 17/10 (2013.01); G06V 40/103 (2022.01); 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; receiving at least one image containing the human and a background; identifying one or more body features associated with the human; performing body feature annotation on the identified body features for generating an annotation line on each body feature corresponding to a body feature measurement, the body feature annotation utilizing an annotation deep-learning network that has been trained on annotation training data, the annotation training data comprising one or more images for one or more sample body features and an annotation line for each body feature; generating body feature measurements from the one or more annotated body features utilizing a sizing 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 body feature.


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