基于三维点云数据的虚拟人台中间体模型的构建

利用TC]2三维人体扫描仪采集了华东地区72名40～49岁B体型女性的三维人体数据,对TC]2扫描获得的三维人体＊.wrl数据文件进行预处理,并建立三维直角坐标系.采用模糊逻辑算法中三角形线形隶属度函数进行噪点的过滤,将人体数据进行标准化处理,建立人体躯干部位特征矩阵.通过计算特征矩阵的均值获得人台中间体特征矩阵,经过对称化处理获得最终的人台中间体特征矩阵.采用Delaunay三角刨分算法将人台中间体特征点进行三角刨分,通过计算点或面的法线向量来光滑曲面获得最终的三维虚拟人台中间体模型.此方法可用于不同规格系列人台三维模型的制作.

Construction of Average-sized Mannequins Based on 3D Point Cloud Data

The 2 three dimensional scanning measurement was used to obtain of 3-D figure data 72 B-sized body style females（9 cmBL-WL13 cm） aged from 40 to 49 in east China.The three-dimensional ＊.wrl data files obtained by 2 scanner were preprocessed to build the three-dimensional rectangular coordinates system.Then the triangular linear membership function in fuzzy logical algorithm was used to filtrate the error points.By standardizing the body data,the shape matrix of human body could be built.The mannequins＇ average-sized characteristic matrix could be obtained by calculating the average characteristic matrix,and through symmetric process,the final average-sized mannequins＇ characteristic matrix could be obtained.Delaunay trigonometry plane divide algorithm was adopted to carry on trigonometry plane of the average-sized mannequins＇ characteristic points,then the final 3D average-sized mannequins could be obtained by calculating the normal vector and smoothing the curved surface.