个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 计算机应用技术. 计算数学
办公地点:信息楼317
联系方式:0411-62274427 250066715@qq.com
电子邮箱:sfwang@dlut.edu.cn
Normal-controlled coordinates based feature-preserving mesh editing
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论文类型:期刊论文
发表时间:2014-07-01
发表刊物:MULTIMEDIA TOOLS AND APPLICATIONS
收录刊物:SCIE、EI
卷号:71
期号:2
页面范围:607-622
ISSN号:1380-7501
关键字:Differential coordinates; Normal-controlled coordinates; Editing; Reconstruction
摘要:As a local shape descriptor, normal-controlled coordinates (NCC) are well defined on the boundary vertices of open meshes, and proven being always parallel with the corresponding vertex normals, which means no tangential drift appears in various editing operations. These two properties make NCC outperform the previous differential coordinates in many mesh processing jobs. We develop an implicit editing algorithm based on NCC, which is efficient by subtly using vertex normals. In addition, by exploring the relationship between NCC and the normals of triangular faces, we present a linear method based on NCC to reconstruct a mesh from predefined face normals. It provides another convenient way that users can operate face normals to edit models. Experiments show that NCC perform better than the previous differential coordinates in both effectiveness and efficiency.