Anthropometric clothing measurements from 3D body scans

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...

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Bibliographic Details
Published in:Machine vision and applications 2020-02, Vol.31 (1-2), Article 7
Main Authors: Yan, Song, Wirta, Johan, Kämäräinen, Joni-Kristian
Format: Article
Language:English
Subjects:
Anthropometry
Communications Engineering
Computer Science
Image Processing and Computer Vision
Iterative algorithms
Networks
Original Paper
Pattern Recognition
Pipelines
Stiffness
Three dimensional bodies
Three dimensional models
Vision systems
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Summary: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.
ISSN:0932-8092
1432-1769
DOI:10.1007/s00138-019-01054-4