Patent · US Active

Machine learning systems and methods of estimating body shape from images

US10679046B1 · kind B1 · utility

82Cited by

0References

18Claims

0Family size

Assignee

Max-Planck-Gesellschaft zur Föderung der Wissenschaften e.V. · US

Inventors

Michael J. Black · Lörrach, DE
Eric Rachlin · Providence, US
Nicolas Heron · New York, US
Matthew M. Loper · Providence, US
Alexander W. Weiss · Linden, DE
Xiaochen Hu · Lo Wu, CN
Theodora Hinkle · Brooklyn, US
Martin Kristiansen · New York, US

Key dates

Filing date	Nov 29, 2017
Grant date	Jun 9, 2020
Priority date	—
Expiry date	Apr 5, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30196
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed is a method including receiving an input image including a human, predicting, based on a convolutional neural network that is trained using examples consisting of pairs of sensor data, a corresponding body shape of the human and utilizing the corresponding body shape predicted from the convolutional neural network as input to another convolutional neural network to predict additional body shape metrics.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.