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基于水平集模型的3D表面重建
引用本文:夏利民,谷士文,沈新权,孙星明.基于水平集模型的3D表面重建[J].小型微型计算机系统,2001,22(12):1445-1448.
作者姓名:夏利民  谷士文  沈新权  孙星明
作者单位:1. 长沙铁道学院信息学院,
2. 长沙铁道学院信息学院;电子工程系英国Surrey大学
3. 株洲工学院计算机系,
基金项目:国家自然科学基金(69975003)、湖南省自然科学基金资助项目(99JJY20058
摘    要:综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重杂物体,实验结果表明该方法的有效性。

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
文章编号:1000-1220(2001)12-1445-04

3D SURFACE RECONSTRUCTION BASED ON LEVEL SET MODELS
XIA Li min GU Shi wen SHEN Xin quan , SUN Xing ming.3D SURFACE RECONSTRUCTION BASED ON LEVEL SET MODELS[J].Mini-micro Systems,2001,22(12):1445-1448.
Authors:XIA Li min GU Shi wen SHEN Xin quan  SUN Xing ming
Affiliation:XIA Li min 1 GU Shi wen 1 SHEN Xin quan 1,2 SUN Xing ming 3 1
Abstract: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.
Keywords:3D surface reconstruction  Fuzzy segmentation  Fuzzy external forces  Deformable model  Level set models
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