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US 11,600,051 B2Granted
Prediction of contact points between 3D models
AssigneeGoogle Inc.
InventorsIdris Aleem, Cecilia Abadie
Life of this patent
Estimating the term…
Abstract
According to an aspect, a method includes receiving a first three-dimensional model (3D) model of at least a body part of a person, receiving a second 3D model of a wearable device, and predicting, by at least one machine-learning (ML) model, a plurality of contact points between the first 3D model and the second 3D model.
Claims20
A method, comprising:
- receiving a first three-dimensional model (3D) model of at least a body part of a person;
- receiving a second 3D model of a wearable device;
- predicting, by at least one machine-learning (ML) model using the first 3D model and the second 3D model as inputs, a plurality of contact points between the first 3D model and the second 3D model;
- and
- compute a wearable fit value based on the plurality of contact points, the wearable fit value representing a level of wearable fit of the wearable device on the body part of the person.
2 more elements
A computing system, comprising:
- at least one processor;
- and
- a non-transitory computer-readable medium storing executable instructions that when executed by the at least one processor cause the at least one processor to:
- receive a first 3D model of at least a body part of a person;
- receive a second 3D model of a wearable device;
- predict, by at least one machine-learning (ML) model using the first 3D model and the second 3D model as inputs, a plurality of contact points between the first 3D model and the second 3D model;
- and
- compute a wearable fit value based on the plurality of contact points, the wearable fit value representing a level of wearable fit of the wearable device on the body part of the person.
5 more elements
A non-transitory computer-readable medium storing executable instructions that when executed by at least one processor cause the at least one processor to:
- receive a first 3D model of at least a head of a person;
- receive a second 3D model of a head-mounted display device;
- predict, by at least one machine-learning (ML) model, a plurality of contact points between the first 3D model and the second 3D model;
- predict, by the at least one ML model using the first 3D model and the second 3D model as inputs, at least one simulation parameter;
- and
- compute a wearable fit value based on the plurality of contact points and the at least one simulation parameter, the wearable fit value representing a level of wearable fit of the head-mounted display device on the head of the person.
3 more elements
Dependencies are inferred from the claim text.