Multi-Scale Salient Features for Analyzing 3D Shapes  

作　　者：杨永亮 沈超慧 

机构地区：[1]King Abdullah University of Science and Technology,Thuwal,Saudi Arabia [2]Tsinghua National Lab for Informatics Science & Technology,Tsinghua University

出　　处：《Journal of Computer Science & Technology》2012年第6期1092-1099,共8页计算机科学技术学报（英文版）

基　　金：supported by the National Basic Research 973 Program of China under Grant No.2011CB302203;the National Natural Science Foundation of China under Grant No.61120106007;the National High Technology Research and Development 863 Program of China under Grant No.2012AA011801

摘　　要：Extracting feature regions on mesh models is crucial for shape analysis and understanding. It can be widely used for various 3D content-based applications in graphics and geometry field. In this paper, we present a new algorithm of extracting multi-scale salient features on meshes. This is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on large scale. We demonstrate this kind of multi-scale description of features accords with human perception and can be further used for several applications as feature classification and viewpoint selection. Experiments exhibit that our method as a multi-scale analysis tool is very helpful for studying 3D shapes.Extracting feature regions on mesh models is crucial for shape analysis and understanding. It can be widely used for various 3D content-based applications in graphics and geometry field. In this paper, we present a new algorithm of extracting multi-scale salient features on meshes. This is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on large scale. We demonstrate this kind of multi-scale description of features accords with human perception and can be further used for several applications as feature classification and viewpoint selection. Experiments exhibit that our method as a multi-scale analysis tool is very helpful for studying 3D shapes.

关 键 词：MULTI-SCALE salient feature shape analysis 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP317[自动化与计算机技术—计算机科学与技术]