基于模糊形变模型的3D表面自适应重建  

3D Surface Adaptive Reconstructing Based on a Fuzzy Deformable Model

作　　者：夏利民[1] 谷士文[1] 沈新权[1] 

机构地区：[1]长沙铁道学院信息院,长沙410075

出　　处：《长沙铁道学院学报》1999年第4期1-5,共5页Journal of Changsha Railway University

摘　　要：结合模糊技术、形变模型和ACD方法提出了基于模糊形变模型的3D表面自适应重建方法．在模糊分割的基础上，引入了模型的模糊外力，在该模糊外力作用下模型能逼近任意复杂的物体表面；利用ACD方法使模型自适应地改变其拓扑结构；为了提高表面重建的速度和鲁棒性，提出多尺度重建算法．实验结果表明该方法的有效性．This paper presents a method for 3D surface adaptive reconstructing basedon a fuzzy deformable model, which integrates fuzzy techniques, deformable model and ACD method. Fuzzy external forces that drive the model towards surface of object with complex geometries and topologies is developed, ACD method is used to make adaptive change of its topologies. In order to improve the speed and robust, the mulscale surface reconstructing algorithm is proposed. Results of several experiments are shown to demonstrate the effectivenes s of our method.

关 键 词：3D 表面自适应重建 模糊形变模型 ACD 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]