Cart (Loading....) | Create Account
Close category search window

Adaptive Mesh Simplification Using Vertex Clustering with Topology Preserving

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Gao Pengdong ; High Performance Comput. Center, Commun. Univ. of China, Beijing ; Li Ameng ; Lu Yongquan ; Wang Jintao
more authors

An improved adaptive mesh simplification method based on vertex clustering is presented in this paper. This algorithm can preserve the model topology and geometric features better than traditional vertex-clustering methods. Using the adjacency relationship of all points, the unit normal corresponding to each vertex can be calculated firstly. Then the algorithm adopts the octree structure to subdivide the mesh model adaptively with the guidance of these normal vectors. This subdivision will continue until the angles between the normal vectors in one cell satisfy the predefined threshold. The vertices in this cell are then replaced by a unique vertex, which is a weighted sum of all inside points. Therein, the weight is the normalized cosine value of the angle between the normal and their mean. Experimental results have demonstrated the presented algorithm can not only simplify 3D meshes effectively but also preserve the geometric characters vividly.

Published in:

Computer Science and Software Engineering, 2008 International Conference on  (Volume:2 )

Date of Conference:

12-14 Dec. 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.