Adjustment of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-Based Retrieval of 3-D Body Scans

Abstract

Computer-generated models of the human body generally do not adequately model the complex human morphology. These models, therefore, do not reflect the anthropometric realities and are not specific enough for commercial use. This paper presents an approach to adjust virtual models through the use of body measurements, as obtained from an anthropometric data set. In this approach, the measurements are used in grouping 3D body scans, which are obtained using precise optoelectronic measurement devices, into clusters. The virtual mannequins are then adjusted by using the measurements of the nearest cluster member. In this way, realistic accurate virtual mannequins are created.