Title :
A new mesh simplification algorithm based on quadric error metric
Author :
Yalan Mao;Jie Yang;Bangpei Zhu;Yi Yang
Author_Institution :
Key Laboratory of Fiber Optic Sensing Technology and Information Processing Ministry of Education, Wuhan University of Technology, Wuhan, China
Abstract :
This paper proposes an improved mesh simplification algorithm based on quadric error metrics (QEM) to efficiently processing the huge data in 3D image processing. This method fully uses geometric information around vertices to avoid model edge from being simplified and to keep details. Meanwhile, the differences between simplified triangular meshes and equilateral triangles are added as weights of errors to decrease the possibilities of narrow triangle and then to avoid the visual mutation. Experiments show that our algorithm has obvious advantages over the time cost, and can better save the visual characteristics of model, which is suitable for solving most image processing, that is, "Real-time interactive" problem.
Keywords :
"Measurement","Computational modeling","Approximation algorithms","Algorithm design and analysis","Image edge detection","Computer graphics"
Conference_Titel :
Consumer Electronics - Berlin (ICCE-Berlin), 2015 IEEE 5th International Conference on
DOI :
10.1109/ICCE-Berlin.2015.7391311