1. 哈尔滨工程大学 计算机科学与技术学院，哈尔滨 150001; 2. 黑龙江科技大学 计算机与信息工程学院，哈尔滨 150027 3. 哈尔滨工程大学 网络信息中心，哈尔滨 150001 4. College of Computer Science and Technology, Harbin Engineering University, Harbin Heilongjiang 150001, China;
Multi-feature fusion method for mesh simplification
WANG Hailing1,2,WANG Jian3,YIN Guisheng2,FU Qiao1,ZHOU Bo1
1. College of Computer and Information Engineering, Heilongjiang University of Science and Technology, Harbin Heilongjiang 150027, China; 2. College of Computer Science and Technology, Harbin Engineering University, Harbin Heilongjiang 150001, China; 3. Centre of Network Information, Harbin Engineering University, Harbin Heilongjiang 150001, China
Abstract：Most mesh simplification algorithms for three-dimensional (3D) may cause oversimplification and distortion in the processing of simplification. To address this problem, an efficient multi-feature fusion method for mesh simplification was proposed. The proposed method measured geometric feature information based on quadric error metric weighted by normal information firstly, then used torsion weighted by side ratio of triangle to measure visual feature information, at last proposed a multi-feature fusion metric to guide model simplification. The experimental results have been compared on execution time and visual quality with other edge contraction algorithms; the results show that the proposed method can guarantee computational efficiency, improve visual shape feature, and reduce oversimplification and distortion for simplified model.
2013, Vol. 33 
