一种改进的表面重建算法及其并行化研究  

An improved 3D surface reconstruction method and it's parallelization

作　　者：王元[1] 曹静[1] 娄泽坤 Wang Yuan Cao Jing Lou Zekun(School of Computer and Information Engineering, Henan University, Kaifeng, Henan 475000, Chin)

机构地区：[1]河南大学计算机与信息工程学院,河南开封475000

出　　处：《计算机时代》2017年第5期17-19,23,共4页Computer Era

基　　金：国家科技支撑计划课题(2015BAK01B06)

摘　　要：对于泊松三维表面重建中估算指示函数出现误差的情况,引入屏蔽因子并使用线性插值的方法纠正误差。该方法在等值面提取时使用的索引表查找法存在二义性的问题,需使用渐近线方法来解决。改进算法需要较大的存储空间来存储顶点信息和法向量以及较长的时间来运算,因而引入了CUDA架构的并行化计算来提高运行效率。In this thesis the shielding factor is introduced to solve the problem of errors of indication function to estimate the indicator function in the Poisson surface reconstruction algorithm. In the part of isosurface extraction in surface reconstruction, the triangulation process is performed by searching the index table. But this method will lead to ambiguity, so an asymptotic method is used to avoid it. This surface reconstruction algorithm will improve the holes and depressions problems of complex objects. At the same time, it leads to larger storage space to store vertex and normal vectors, and a longer time to process data. Therefore, CUDA architecture and parallelization are introduced to solve the problem of efficiency.

关 键 词：多视图三维重建 泊松表面重建 二义性 CUDA架构 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]