一种针对3维人体冗余扫描模型的压缩方法  

The Compression Method for Redundant Scanning Models of Three-Dimensional Human Body

作　　者：滕毅 王若梅[2] 焦姣 马焯文 姜永生[1] TENG Yi;WANG Ruomei;JIAO Jiao;MA Zhuowen;JIANG Yongsheng(Department of Computer Science,Guangdong University of Education,Guangzhou Guangdong 510303,China;Department of Computer Science,Sun Yat-Sen University,Guangzhou Guangdong 510275,China;Dr. Stephen Hui Research Centre for Physical Recreation and Wellness,Hong Kong Baptist University,Hong Kong 999077,China)

机构地区：[1]广东第二师范学院计算机学院,广东广州510303 [2]中山大学计算机学院,广东广州510275 [3]香港浸会大学许士芬博士体康研究中心,中国香港999077

出　　处：《江西师范大学学报（自然科学版）》2022年第1期75-80,共6页Journal of Jiangxi Normal University(Natural Science Edition)

基　　金：国家自然科学基金(62172452);广东省普通高校青年创新人才类课题(2021KQNCX061);广州市科技计划(202102021240)资助项目.

摘　　要：该文提出针对3维人体冗余扫描模型的压缩算法,首先应用2维轮廓关键点提取算法,采用区域覆盖和平滑处理方法分组提取在横截面上的轮廓关键点,再应用3维人体三角面片重构算法对压缩的顶点集重构3维人体模型.实验结果表明:该算法的压缩率约为10%,对处理冗余扫描和叠加扫描导致的冗余效果显著.The innovated algorithm is proposed to compress the redundant data to optimize the images management after 3D human body scanning.In the algorithm,the contour key points of the cross section are extracted by using the extracting algorithm with the 2D contour key point,and the area coverage and smooth-processing methods.The 3D human body model is reconstructed from the compressed vertex set by using the 3D triangular mesh reconstruction algorithm.Experimental results show that the compression rate of the newly-developed algorithm is nearly 10%,which is particularly effective for the processing optimization from the redundant and overlapping scans.

关 键 词：服装CAD设计 2维轮廓 3维人体模型 轮廓平滑 3维人体三角面片重构算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]