3D nose modeling based on support vector machine

Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (8): 168-172.

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3D nose modeling based on support vector machine

HUO Niuyi1，2，3, ZHOU Shaowu1, ZHANG Guoyun1，2，3, ZHENG Tengjiao1

1.College of Information & Electrical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411100, China
2.College of Information & Communication Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan 414000, China
3.Key Laboratory of Optimization and Control for Complex Systems, College of Hunan Province, Yueyang, Hunan 414000, China

Online:2014-04-15 Published:2014-05-30

基于支持向量机的三维鼻子建模方法研究

霍牛义1，2，3，周少武1，张国云1，2，3，郑腾交1

1.湖南科技大学信息与电气工程学院，湖南湘潭 411100
2.湖南理工学院信息与通信工程学院，湖南岳阳 414000
3.复杂系统优化与控制湖南省高校重点实验室，湖南岳阳 414000

Abstract

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.

Key words: 3D nose modeling, high-boost filter, Support Vector Machine（SVM）, texture mapping

摘要： 提出了一种基于支持向量机的三维鼻子建模新方法，该方法采用两张正交的人脸照片，首先运用高提升滤波对整个面部照片进行处理，使鼻子边缘轮廓更加清晰，然后在鼻子区域中提取鼻子的三维坐标信息，接着用支持向量机（SVM）对鼻子进行拟合建模，最后对拟合得到的鼻子模型进行纹理贴图，得到具有真实感的三维鼻子模型。该方法已在MATLAB平台上进行了模拟，成功获得了较逼真的三维鼻子模型，并可以推广应用到三维人脸建模。

关键词: 三维鼻子建模, 高提升滤波, 支持向量机（SVM）, 纹理贴图

HUO Niuyi1，2，3, ZHOU Shaowu1, ZHANG Guoyun1，2，3, ZHENG Tengjiao1. 3D nose modeling based on support vector machine[J]. Computer Engineering and Applications, 2014, 50(8): 168-172.

霍牛义1，2，3，周少武1，张国云1，2，3，郑腾交1. 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, 50(8): 168-172.

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3D nose modeling based on support vector machine

基于支持向量机的三维鼻子建模方法研究

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