W2H-Net: Fast Prediction of Waist-to-Hip Ratio from Single Partial Dressed Body Scans in Arbitrary Postures via Deep Learning-Reference-Cited by-同舟云学术

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W2H-Net: Fast Prediction of Waist-to-Hip Ratio from Single Partial Dressed Body Scans in Arbitrary Postures via Deep Learning

Published:2023-09-25 Issue: Volume:1 Page:1-10
ISSN:
Container-title:2023 IEEE International Joint Conference on Biometrics (IJCB)
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Author:

Zhao Ran¹,Dai Xinxin¹,Hu Pengpeng²,Munteanu Adrian¹

Affiliation:

1. Vrije Universiteit Brussel,ETRO,Brussels,Belgium

2. Coventry University,Computational Science and Mathematical Modelling,Coventry,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447019/10448524/10448641.pdf?arnumber=10448641

Reference30 articles.

1. Correlation of Percentage Body Fat, Waist Circumference and Waist-to-Hip Ratio with Abdominal Muscle Strength

2. Proteomic Profiles of Body Mass Index and Waist-to-Hip Ratio and Their Role in Incidence of Diabetes

3. Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction

4. Waist and hip circumferences and all-cause mortality: usefulness of the waist-to-hip ratio?

5. Blender: a 3D modelling and rendering package;Community;Blender Foundation, Stichting Blender Foundation,2018

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