A method for automated landmark extraction from three-dimensional whole
body scanned data extracts feature points as landmarks from a plurality
of point clouds obtained from a three-dimensional whole body scanner,
without pre-making the landmarks on a human body before scanning. The
system includes: (1) Silhouette analysis, which projects
three-dimensional body scanned data onto a two-dimensional surface and
observes the variations in curvature and depth; (2) Minimum
circumference, which uses the variations of the circumference of body
parts to define the locations of the landmarks and feature lines; (3)
Gray-scale detection, which converts the color information of human body
from RGB values into gray-scale values to locate the landmarks with
greater variations in brightness; and (4) Human-body contour plot, which
simulates the sense of touch to locate landmarks by finding the prominent
and concave parts on the human body.