Title
Feature Sensitive Mesh Segmentation with Mean Shift
Abstract
We present a novel algorithm based on least-squares minimization to approximate point cloud data in 2D plane with a smooth B-spline curve. The point cloud data may represent an open curve with self intersection and sharp corner. Unlike other existing ...
Year
DOI
Venue
2005
10.1109/SMI.2005.21
SMI
Keywords
Field
DocType
mean shift,smooth b-spline curve,sharp corner,least-squares minimization,open curve,point cloud data,novel algorithm,self intersection,approximate point cloud data,feature sensitive mesh segmentation,computational geometry,image segmentation,solid modeling,scattering,geometry,computer graphic,active shape model,feature extraction,power generation,geometric model,computer graphics,mesh generation,application software
Computer vision,Segmentation,Computer science,Computational geometry,Geometric modeling,T-vertices,Artificial intelligence,Mean-shift,Cluster analysis,Computer graphics,Mesh generation
Conference
ISBN
Citations 
PageRank 
0-7695-2379-X
32
1.02
References 
Authors
25
6
Name
Order
Citations
PageRank
Hitoshi Yamauchi1321.02
Seungyong Lee22130157.29
Yunjin Lee339921.22
Yutaka Ohtake4123161.02
Alexander Belyaev526912.87
Hans-Peter Seidel612532801.49