Anthropometric techniques based on kinect 3D scanning

This paper presented a body composition analysis system (BCAS) framework to perform scanning, reconstruction and the measurement by using a Kinect device. In order to quantize point cloud data, the data scanned by Kinect were converted to 3D point cloud data in the physical space, and the quasi-integral method and Monte Carlo method were used to calculate circumference and volume of the relevant parts of the model respectively. Scanning and 3D reconstruction cost 2~3 minutes all together with a smooth and fine result, the accuracy of the dimension measurement is 97.7%, and the accuracy of the volume measurement is 96.8%. The experiments showed the effectiveness of the proposal. And the body model obtained by the system can be widely applied to such occasions as 3D virtual fitting as well.