Abstract
Anthropometric parameter based human modeling has been attractively explored and applied in human body related product design industries. However, how to conveniently obtain precise anthropometric parameters and how to make the human modeling results fit the anthropometric parameters well are still unsolved problems. In this paper, a smart garment attached with a mechatronic sensor-net has been designed to measure multiple body dimensions precisely and simultaneously. Geometrically, this sensor-net corresponds to a feature curve-net. A 3D human model is statistically reconstructed with body measurements initially and is further optimized with the shape constraints from the feature curve-net. Experimental results verify the effectiveness of our approach in both human body measurement and 3D human body modeling.
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