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作 者:鲍陈 缪永伟 孙瑜亮 张旭东[1] BAO Chen;MIAO Yongwei;SUN Yuliang;ZHANG Xudong(College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou,Zhejiang 310023,China;School of Information Science and Technology,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China)
机构地区:[1]浙江工业大学计算机科学与技术学院,浙江杭州310023 [2]浙江理工大学信息学院,浙江杭州310018
出 处:《纺织学报》2019年第1期120-129,共10页Journal of Textile Research
基 金:国家自然科学基金项目(61272309);浙江理工大学科研基金项目(17032001-Y)
摘 要:为解决Kinect深度相机三维人体扫描重建中人体特征尺寸提取的问题,提出一种基于散乱点云的三维人体自动测量方案。首先,对采集三维点云数据进行预处理,经点云降采样、离群点滤波和表面重建,以及点云坐标转换,进而识别出人体正背面;然后,利用人体几何形状分析法,自动提取人体特征点和特征截面点云;最后,对得到的特征截面点云提取特征边界点,再通过基于凸壳的轮廓线提取算法得到特征边界线,通过三次B样条曲线拟合计算围度、弧长尺寸,利用坐标差值和欧氏距离计算长度尺寸,从而完成对三维人体点云模型的特征尺寸测量。结果表明,该方案受人体体型因素影响较小,所提出的尺寸信息的自动提取方案有效,并符合相关标准中测量精度的要求。In order to solve the human body′s characteristic size extraction in 3-D human body scanning reconstruction using Kinect depth camera,an automatic measurement scheme of 3-D human body size based on scattered point cloud was proposed.Firstly,the collected 3-D point cloud was preprocessed,and then the front and back surfaces of a human body were identified by point cloud desampling,outlier filtering,surface reconstruction and point cloud coordinate transformation.Then,the human body geometric shape analysis method was used to automatically extract human body′s characteristic points and characteristic section point cloud.Finally,the characteristic boundary points were extracted from the obtained characteristic cross section point cloud,and then the characteristic boundary line was obtained by the contour extraction algorithm based on the convex hull,the girth and arc length were calculated through the cubic B-spline curve fittings,and the length was calculated by coordinate difference and Euclidean distance,so that the characteristic size measurement of the 3-D human body point cloud model was completed.The experiment results show that the scheme is less affected by human body shape factors,and the proposed automatic extraction scheme of size information is effective.The feasibility is verified according to the measurement accuracy requirements of related standard.
分 类 号:TS941.26[轻工技术与工程—服装设计与工程]
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