# Anthropometric clothing measurements from 3D body scans

arXiv: https://arxiv.org/abs/1911.00694 · HTML: https://mlsanity.com/paper/1911.00694/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Nov 2019.

## Built on by (most cited first, 10 of 10)

- [Learning Anthropometry from Rendered Humans](https://mlsanity.com/paper/2101.02515/) (2021)
- [Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry](https://mlsanity.com/paper/2111.00905/) (2021)
- [Automatic Estimation of Anthropometric Human Body Measurements](https://mlsanity.com/paper/2112.11992/) (2021)
- [Estimation of 3D Body Shape and Clothing Measurements from Frontal- and Side-view Images](https://mlsanity.com/paper/2205.14347/) (2022)
- [AnthroNet: Conditional Generation of Humans via Anthropometrics](https://mlsanity.com/paper/2309.03812/) (2023)
- [Learning Localization of Body and Finger Animation Skeleton Joints on Three-Dimensional Models of Human Bodies](https://mlsanity.com/paper/2407.08484/) (2024)
- [Pose-independent 3D Anthropometry from Sparse Data](https://mlsanity.com/paper/2501.06014/) (2025)
- [Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation](https://mlsanity.com/paper/2205.12028/) (2022)
- [Leveraging Digital Perceptual Technologies for Remote Perception and Analysis of Human Biomechanical Processes: A Contactless Approach for Workload and Joint Force Assessment](https://mlsanity.com/paper/2404.01576/) (2024)
- [Millimeter-wave Imaging for Anthropometric Body Measurement](https://mlsanity.com/paper/2605.23064/) (2026)

## Abstract (arXiv)

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 (ICP) 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 non-linear 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 mm to 16.0 mm depending on the anthropometric measurement.