In this work we present an algorithm for extracting morphological measurement from 3-D human scans acquired using Kinect v2 devices. The algorithm objective is to provide computation of classical body measures, including height, waist circumference and hip circumference and measures related to the shape, such as area and volume. It is independent from the pose and robust to noise. Exploiting the obtained measures we calculate several indices, such as waist-to-hip ratio and Barix.

Automatic human body morphological measurement from 3D scan acquired with low cost devices

Villa A;Carboni A;Pascali MA;Magrini M
2016

Abstract

In this work we present an algorithm for extracting morphological measurement from 3-D human scans acquired using Kinect v2 devices. The algorithm objective is to provide computation of classical body measures, including height, waist circumference and hip circumference and measures related to the shape, such as area and volume. It is independent from the pose and robust to noise. Exploiting the obtained measures we calculate several indices, such as waist-to-hip ratio and Barix.
2016
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Point cloud processing
Biometry
Kinect
Obesity assessment
3D scan
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/317825
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