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Anthropometric clothing measurements from 3D body scans

Research output: Contribution to journalArticleScientificpeer-review

Details

Original languageEnglish
Article number7
JournalMachine Vision and Applications
Volume31
Issue number1
DOIs
Publication statusPublished - 2020
Publication typeA1 Journal article-refereed

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

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