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机构地区:[1]浙江大学信息与通信工程研究所,浙江杭州310027
出 处:《浙江大学学报(理学版)》2004年第6期634-637,666,共5页Journal of Zhejiang University(Science Edition)
基 金:国家自然科学基金资助项目(90207005).
摘 要:3D人脸线框模型是自然人脸表述的重要方法.如何将通用的模型调整到特定的人脸上涉及脸部特点的自动提取和模型的调整两个主要过程.对通过皮肤颜色分割和形态滤波得到复杂背景的视频场景中的候选人脸,用区域惯量椭圆方向进行调整并用先验人脸模板校验以找出人脸和脸部特征区域.根据人脸特征区域所具有的颜色特性和空间分布采用基于特征的人脸识别算法提取部分重要的脸部特征点,由曲线和活动轮廓模型拟合脸部特征边缘,从中提取特征点,用来估计头部姿势和作为插值结点的使用径向基函数插值,可将3D人脸线框模型自动调整到特定的人脸上.3D facial wire-frame model is an important method for the natural facial representation. How to adapt the general model to the special human face deals with the two main routes including automatic extraction of facial feature points and adaptation of the model. In this paper, the extracted face candidates from video scene with complex background by the algorithm of skin-color segmentation and morphological filtering are adapted through their directions of the region inertial ellipses and verified by prior face template to find out real face regions and locate the responding facial feature regions. With the prior knowledge of the color properties and spatial distribution of the facial feature region, a feature-based method of face detection is employed to extract some of the essential facial feature points and the edges of the facial feature are fitting by curves and active contour model, from which the facial points are extracted and serve for the estimation of the face pose and the interpolation node of radial basis function interpolation for automatic adaptation of the 3D facial wire-frame model.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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