一种针对3维人体冗余扫描模型的压缩方法

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

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.