US 2021/0343074 A1Published application

Generation and presentation of predicted personalized three-dimensional body models

AssigneeAmazon Technologies, Inc.

InventorsAmit Kumar Agrawal, JinJin Li, Rohith Mysore Vijaya Kumar, Dylan John Drover, Brandon Michael Smith, Prakash Ramu, Ram Sever, Apoorv Chaudhri, Visesh Uday Kumar Chari, Sunil Sharadchandra Hadap, Rajesh Gautam

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Abstract

Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.

Claims20

Dependent claims

A computer-implemented method, comprising:

receiving personalized three-dimensional (“3D”) body parameters corresponding to a body at a current body measurement value;
receiving non-personalized 3D body parameters corresponding to the body;
receiving predicted non-personalized 3D body parameters corresponding to a target body measurement value for the body;
determining one or more deltas between the predicted non-personalized 3D body parameters and the non-personalized 3D body parameters;
generating, based at least in part on the predicted non-personalized 3D body parameters and the one or more deltas, a predicted personalized 3D body model of the body, the predicted personalized 3D body model representative of a predicted appearance of the body at the target body measurement value;
determining if the one or more deltas exceed a threshold;
and
in response to determining that the one or more deltas exceed the threshold:
applying a generic texture and a generic shading to the predicted personalized 3D body model;
and
presenting, on a display, the predicted personalized 3D body model with the generic texture and shading.

8 more elements

A computing system, comprising:

one or more processors;
and
a memory storing program instructions that, when executed by the one or more processors, cause the one or more processors to at least:
determine one or more deltas between predicted non-personalized 3D body parameters corresponding to a body and non-personalized 3D body parameters;
generate, based at least in part on predicted personalized 3D body parameters corresponding to the body and the one or more deltas, a predicted personalized 3D body model of the body, the predicted personalized 3D body model representative of a predicted appearance of the body at a target body measurement value;
determine if the one or more deltas exceed a threshold;
in response to a determination that the one or more deltas do not exceed the threshold:
apply at least one of a texture or a shading from a personalized 3D body model to the predicted personalized 3D body model;
and
present, on a display, the predicted personalized 3D body model.

7 more elements

A method, comprising:

determining one or more deltas between predicted non-personalized 3D body parameters corresponding to a body with a target body measurement value and non-personalized 3D body parameters;
determining, using one or more neural networks, predicted personalized 3D body parameters for the body with the target body measurement value;
generating, based at least in part on the predicted personalized 3D body parameters, a predicted personalized 3D body model representative of a predicted appearance of the body with the target body measurement value;
determining if the one or more deltas exceed a threshold;
in response to determining that the one or more deltas do not exceed the threshold:
applying at least one of a texture or a shading from a personalized 3D body model of the body to the predicted personalized 3D body model;
and
presenting, on a display, the predicted personalized 3D body model with the applied at least one of the texture or the shading.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/377,214Filed 15 Jul 2021
Priority: 26 Sep 2019
Published: 4 Nov 2021
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

G06T 17/00
Three-dimensional [3d] modelling for computer graphics
G16H 15/00
Ict specially adapted for medical reports
A61B 5/4872
Determining body composition: body fat
G06T 15/005
Three-dimensional [3D] image rendering: general purpose rendering architectures

Family

Application16/584,360Continuation · filed 26 Sep 2019
Application17/377,214Continuation
US 11,069,131 B2Related patent
US 11,836,853 B2Related patent
US 2021/0097759 A1Published application
US 2021/0343074 A1This patent

From the US filing history. Foreign family members aren’t listed.

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