Multi-Scale Salient Features for Analyzing 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...

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Bibliographic Details
Published inJournal of computer science and technology Vol. 27; no. 6; pp. 1092 - 1099
Main Author 杨永亮 沈超慧
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.11.2012
Springer Nature B.V
King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Tsinghua National Lab for Informatics Science & Technology, Tsinghua University, Beijing 100084, China%Tsinghua National Lab for Informatics Science & Technology, Tsinghua University, Beijing 100084, China
Subjects
3D图形
Algorithms
Analysis
Artificial Intelligence
Classification
Computer graphics
Computer Science
Curvature
Data Structures and Information Theory
Feature extraction
Finite element method
Geometry
Image processing systems
Information Systems Applications (incl.Internet)
Mathematical analysis
Mathematical models
Multiscale analysis
Neighborhoods
Perception
Principal components analysis
R&D
Regular Paper
Research & development
Science
Small scale
Software Engineering
Studies
Theory of Computation
Three dimensional
三维形状
基于内容
多尺度
应用程序
形状分析
特征区域
网格模型
multi-scale
shape analysis
salient feature
Online AccessGet full text
ISSN1000-9000
1860-4749
DOI10.1007/s11390-012-1287-z

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Summary: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.
Bibliography:multi-scale, salient feature, shape analysis
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.
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ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-012-1287-z