This study presents a systematic and mere economical method to acquire 3-D anthropometric data by the use of Moire' interferometry, image processing and computer vision techniques. An experiment was performed to measure sixty-one anthropometric variables, such as height weight neck-base circumference, contained areas of various contours etc.., of thirty-six male subjects with wide range of ages (14 years to 43 years' old). Cluster analysis was performed with contour information, and somatotyping was performed to obtain four distinct types of body shape. The results were then compared with classifications obtained from traditional somatotyping methods which showed 71.88% consistency. This study developed a simple and inexpensive method for 3-D anthropometric data acquisition and suggests the quantification and interpretation scheme that will enable us to utilize the data for industrial applications.