  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.
