Title :
An effective hole detection method for 3D models
Author :
Wang, Yuehong ; Liu, Rujie ; Li, Fei ; Endo, Susumu ; Baba, Takayuki ; Uehara, Yusuke
Author_Institution :
Fujitsu R&D Center, Beijing, China
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.
Keywords :
feature extraction; object detection; 3D models; adjacent plane boundaries; contour extraction; effective hole detection method; geometry incorrect 3D models; interconnected coplanar triangles; plane clusters; polygon missing region detection; triangular mesh models; vertex clusters; Algorithm design and analysis; Analytical models; Clustering algorithms; Computational modeling; Geometry; Robustness; Solid modeling; Three-dimensional models; contour; hole; planes; triangular mesh;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-1068-0