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Linear Regression vs. Deep Learning: A Simple Yet Effective Baseline for Human Body Measurement

We propose a linear regression model for the estimation of human body measurements. The input to the model only consists of the information that a person can self-estimate, such as height and weight. We evaluate our model against the state-of-the-art approaches for body measurement from point clouds...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Kristijan Bartol, David Bojanić, Tomislav Petković, Stanislav Peharec, Tomislav Pribanić
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-02-01
Schriftenreihe:Sensors
Schlagworte:
body measurement
linear regression
statistical models
anthropometry
SMPL
shape estimation
Online-Zugang:https://www.mdpi.com/1424-8220/22/5/1885
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