Anthropometric clothing measurements from 3D body scans

35Citations
Citations of this article
70Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Yan, S., Wirta, J., & Kämäräinen, J. K. (2020). Anthropometric clothing measurements from 3D body scans. Machine Vision and Applications, 31(1). https://doi.org/10.1007/s00138-019-01054-4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free