一种拟合误差驱动的自适应隐式曲面重建算法  

An Algorithm of Adaptive Implicit Surface Reconstruction Driven by Fitting-Error

作　　者：李朝军[1] 佘朝兵[2] 

机构地区：[1]湖南工业大学实验室建设与设备管理处,湖南株洲412007 [2]吉首大学张家界学院,湖南张家界427000

出　　处：《湖南工业大学学报》2011年第2期90-94,共5页Journal of Hunan University of Technology

摘　　要：针对散乱数据,提出一种拟合误差驱动的自适应隐式曲面重建算法。算法根据二次曲面的拟合误差进行自适应拟合,改变了传统方法从八叉树中顶层节点开始拟合,减少了拟合次数,加快了重建速度;并修正权函数,加入密度函数,削弱由于散乱数据密度的不一致对重建曲面影响。实验结果表明,该算法原理简单,重建速度快,重建效果良好。Aiming at scattered data,proposes an adaptive implicit surface reconstruction algorithm driven by fitting-error.Adaptive fitting is processed based on the fitting-error of quadric surface,which is different from traditional method that starts fitting from top-level node of octree,and the fitting times is reduced and reconstruction speed is accelerated,meanwhile,weight function is modified with density function,which weaken the influence caused by asymmetrical scattered data and improve the quality of reconstruction surface.The experimental results indicate that the algorithm is simple with fast reconstruction speed and good reconstruction surface.

关 键 词：曲面重建 隐式曲面 拟合误差 散乱数据 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]