Feature extraction and clustering of lower-body shapes in older women using unsupervised contrastive learning on 3D point clouds
Published online on May 15, 2026
Abstract
Textile Research Journal, Ahead of Print.
Significant variations exist in the lower-body shapes of older women. Traditional anthropometric analysis methods cannot capture their complex three-dimensional (3D) morphology. This study proposes an unsupervised learning framework that extracts lower-...
Significant variations exist in the lower-body shapes of older women. Traditional anthropometric analysis methods cannot capture their complex three-dimensional (3D) morphology. This study proposes an unsupervised learning framework that extracts lower-...