人体扫描线点云精简与孔洞修补

Data simplification and hole-filling of body scan line point clouds

利用人体扫描系统获取的人体扫描线点云密度很高,在后期处理过程中必须对其进行精简。经过分析扫描线点云特征,采用宽度检测法对其进行处理,设置参数阈值T,当T=0.006D时,点云被精简至61%。同时,受扫描环境、系统算法本身缺陷等因素的影响,人体表面存在部分扫描盲区,使点云模型存在孔洞,重建人体表面前需采用空间灰色建模的方法对孔洞进行修补。利用弦长法确定孔洞是否存在;建立扫描线空间灰色模型SGM(1,1),有效地实现对扫描线点云的孔洞修补。

Because of high density of the scan line point clouds captured by body scanning system,simplification must be progressed. Width decision method is adopted,and the parameter T is set up.When T = 0. 006 D, point clouds are reduced to 61%. Meanwhile, influencing by the scanning environment and defects of algorithms,there exists the holes in some scan lines which is shoveled using space gray model. First,the holes are detected by chord length,then the model SGM（ 1,1） of scan line is founded which will complete hole-filling efficiently.