基于水平集模型的3D表面重建  

3D SURFACE RECONSTRUCTION BASED ON LEVEL SET MODELS

作　　者：夏利民[1] 谷士文[1] 沈新权[1] 孙星明[2] 

机构地区：[1]长沙铁道学院信息学院,长沙410075 [2]株洲工学院计算机系,湖南株洲412008

出　　处：《小型微型计算机系统》2001年第12期1445-1448,共4页Journal of Chinese Computer Systems

基　　金：国家自然科学基金 (69975 0 0 3 );湖南省自然科学基金资助项目 (99JJY2 0 0 5 8)

摘　　要：结合模糊技术和水平集方法 ,提出了基于水平集模型的 3D表面重建的方法 ,为了使重建结果不受噪声影响且与模型初始位置无关 ,在模糊分割的基础上 ,引入了模糊外力 ,在该外力作用下模型能逼近任意复杂的物体表面 ;利用水平集方法使模型能重建任意拓扑结构的复杂物体 .This paper present a method for 3D surface reconstruction using a deformable model, which integrates fuzzy techniques, deformable model and the level set method. In order to make the result much less sensitive to the initial conditions and noise, fuzzy external forces that drive the model towards surface of object is developed based on a adaptive fuzzy segmentation algorithm. We represent the deformable model as a level set of 3D scalar function so that the deformable model can reconstruct 3D surface of object with complex geometries and topologices. Results of several experiments are shown to demonstrate the effectiveness of our method.

关 键 词：3D表面重建 模糊分割 形变模型 水平集模型 计算机视觉 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]