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:
Feb. 14, 2023

Filed:

Jan. 21, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

David Lawrence Seymore, Seattle, WA (US);

Prakash Ramu, Portland, OR (US);

Aneeb Qureshi, Seattle, WA (US);

Ita Lifshitz, Kiryat Ono, IL;

Anta Imata Safo, Seattle, WA (US);

Megan Heffernan, Seattle, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 7/70 (2017.01); G06T 7/00 (2017.01); G06T 7/62 (2017.01); G06T 15/04 (2011.01); G06T 7/536 (2017.01); G06T 19/20 (2011.01); H04N 5/235 (2006.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); G06T 7/536 (2017.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06T 7/97 (2017.01); G06T 15/04 (2013.01); G06T 19/20 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); H04N 5/2351 (2013.01); H04N 5/2353 (2013.01);
Abstract

Described are systems and method directed to generation of a dimensionally accurate three-dimensional ('3D') body model of a body, such as a human body, based on two-dimensional ('2D') images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different directions with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model of the body of the user.


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