Predicting 3D body shape and body composition from conventional 2D photography.

ABSTRACT:

Purpose

Total and regional body composition are important indicators of health and mortality risk, but their measurement is usually restricted to controlled environments in clinical settings with expensive and specialized equipment. A method that approaches the accuracy of the current gold standard method, dual-energy x-ray absorptiometry (DXA), while only requiring input from widely available consumer grade equipment, would enable the measurement of these important biometrics in the wild, enabling data collection at a scale that would have previously been prohibitive in time and expense. We describe an algorithm for predicting three-dimensional (3D) body shape and composition from a single frontal 2-dimensional image acquired with a digital consumer camera.

Methods

Duplicat

SUBMITTER: Tian IY 

PROVIDER: S-EPMC7796893 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature