Title
An effective hole detection method for 3D models
Abstract
An automatic hole detection approach is proposed for triangular mesh models in this paper. Different to some other existing methods, the proposed method here aims to find solid holes inside 3D models instead of detecting polygon missing regions for geometry incorrect 3D models. In the method, a number of planes are firstly detected by grouping interconnected coplanar triangles, then model contour is extracted from the boundaries of adjacent planes, and after that model vertices are grouped into several disjoint clusters based on the extracted contour. By analyzing the relationship between planes and vertex clusters, all the holes inside 3D models are finally identified. Experiments verify that our method is efficient and effective.
Year
DOI
Venue
2012
null
EUSIPCO
Keywords
Field
DocType
triangular mesh models,geometry incorrect 3d models,three-dimensional models,plane clusters,triangular mesh,interconnected coplanar triangles,3d models,planes,contour,effective hole detection method,adjacent plane boundaries,feature extraction,contour extraction,object detection,vertex clusters,hole,polygon missing region detection
Cluster (physics),Topology,Object detection,Polygon,Disjoint sets,Vertex (geometry),Feature extraction,Three dimensional model,Mathematics,Triangle mesh
Conference
Volume
Issue
ISSN
null
null
2219-5491
ISBN
Citations 
PageRank 
978-1-4673-1068-0
3
0.41
References 
Authors
4
6
Name
Order
Citations
PageRank
Yuehong Wang1724.66
Rujie Liu214715.49
Fei Li3234.62
Susumu Endo4276.47
Takayuki Baba5778.19
Yusuke Uehara6628.15