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Anthropometric clothing measurements from 3D body scans

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Anthropometric clothing measurements from 3D body scans. / Yan, Song; Wirta, Johan; Kämäräinen, Joni-Kristian.

In: Machine Vision and Applications, Vol. 31, No. 1-2, 7, 2020.

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Yan, Song ; Wirta, Johan ; Kämäräinen, Joni-Kristian. / Anthropometric clothing measurements from 3D body scans. In: Machine Vision and Applications. 2020 ; Vol. 31, No. 1-2.

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@article{35d8f3f32fcd4eaa87595312a1281036,
title = "Anthropometric clothing measurements from 3D body scans",
abstract = "We propose a full processing pipeline to acquire anthropometric measurements from 3D measurements. The first stage of our pipeline is a commercial point cloud scanner. In the second stage, a pre-defined body model is fitted to the captured point cloud. We have generated one male and one female model from the SMPL library. The fitting process is based on non-rigid iterative closest point algorithm that minimizes overall energy of point distance and local stiffness energy terms. In the third stage, we measure multiple circumference paths on the fitted model surface and use a nonlinear regressor to provide the final estimates of anthropometric measurements. We scanned 194 male and 181 female subjects, and the proposed pipeline provides mean absolute errors from 2.5 to 16.0 mm depending on the anthropometric measurement.",
keywords = "3D body model, Anthropometric measurement, Non-rigid ICP",
author = "Song Yan and Johan Wirta and Joni-Kristian K{\"a}m{\"a}r{\"a}inen",
year = "2020",
doi = "10.1007/s00138-019-01054-4",
language = "English",
volume = "31",
journal = "Machine Vision and Applications",
issn = "0932-8092",
publisher = "Springer",
number = "1-2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Anthropometric clothing measurements from 3D body scans

AU - Yan, Song

AU - Wirta, Johan

AU - Kämäräinen, Joni-Kristian

PY - 2020

Y1 - 2020

N2 - We propose a full processing pipeline to acquire anthropometric measurements from 3D measurements. The first stage of our pipeline is a commercial point cloud scanner. In the second stage, a pre-defined body model is fitted to the captured point cloud. We have generated one male and one female model from the SMPL library. The fitting process is based on non-rigid iterative closest point algorithm that minimizes overall energy of point distance and local stiffness energy terms. In the third stage, we measure multiple circumference paths on the fitted model surface and use a nonlinear regressor to provide the final estimates of anthropometric measurements. We scanned 194 male and 181 female subjects, and the proposed pipeline provides mean absolute errors from 2.5 to 16.0 mm depending on the anthropometric measurement.

AB - We propose a full processing pipeline to acquire anthropometric measurements from 3D measurements. The first stage of our pipeline is a commercial point cloud scanner. In the second stage, a pre-defined body model is fitted to the captured point cloud. We have generated one male and one female model from the SMPL library. The fitting process is based on non-rigid iterative closest point algorithm that minimizes overall energy of point distance and local stiffness energy terms. In the third stage, we measure multiple circumference paths on the fitted model surface and use a nonlinear regressor to provide the final estimates of anthropometric measurements. We scanned 194 male and 181 female subjects, and the proposed pipeline provides mean absolute errors from 2.5 to 16.0 mm depending on the anthropometric measurement.

KW - 3D body model

KW - Anthropometric measurement

KW - Non-rigid ICP

U2 - 10.1007/s00138-019-01054-4

DO - 10.1007/s00138-019-01054-4

M3 - Article

VL - 31

JO - Machine Vision and Applications

JF - Machine Vision and Applications

SN - 0932-8092

IS - 1-2

M1 - 7

ER -