计算机工程与应用Issue(8)：168-172,264,6.DOI:10.3778/j.issn.1002-8331.1205-0186
基于支持向量机的三维鼻子建模方法研究
ZHANG Guoyun, et al. 3D nose modeling based on support vector machine
摘要
Abstract
This paper proposes a method of 3D nose modeling. It needs two orthogonal face photos. First, high-boost filter is needed to make the nose edge profile more clearly and so that it can then gain the nose’s 3D coordinate information better. Then, the nose is fitted by the Support Vector Machine(SVM)to model. Finally, texture mapping is applied to the model obtained by fitting in order to get a realistic 3D nose model. This method has been carried out on the platform of MATLAB and a realistic 3D nose model is successfully obtained.关键词
三维鼻子建模/高提升滤波/支持向量机(SVM)/纹理贴图Key words
3D nose modeling/high-boost filter/Support Vector Machine(SVM)/texture mapping分类
信息技术与安全科学引用本文复制引用
霍牛义,周少武,张国云,郑腾交..基于支持向量机的三维鼻子建模方法研究[J].计算机工程与应用,2014,(8):168-172,264,6.基金项目
湖南省教育厅重点项目（No.10A046）；湖南省科技计划项目（No.2011GK3222）；湖南省科研创新团队支持计划。 （）
