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《Journal of Textile Research》 2010-03
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Denoising and smoothing based on 3-D body scan line point cloud data

LI Xiaozhi,LI Xiaojiu,WANG Yuxiu(Institute of Art & Fashion,Tianjin Polytechnic University,Tianjin 300387,China)  
A portable three dimension(3-D) body measurement system was developed to obtain body scan line point clouds.Because of physical properties of measuring device,environment of measurement,light and defects of calibration algorithm,the initial point cloud include some noisy points.Based on the characters of noisy points,they are divided into three types.The first type has a far distance from true body data points.The second is the lapped points,and the third mixes with true body data to cause the point clouds unfair.The first and second type noisy points are deleted by the distance-based algorithm,and then the third type noisy points are removed by the method of Savitzky-golay filter based on the curvature and curvature change.The results show that the methods are effective on smoothing point cloud and the details of point cloud are remained.
【CateGory Index】: TP274
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