Journal of Software:2001.12(4):570-577

(中国科学院计算技术研究所,北京 100080;中国科学院计算技术研究所,北京 100080;哈尔滨工业大学计算机科学与工程系,黑龙江哈尔滨 150001)
Facial Feature Extraction Based on Facial Texture Distribution and Deformable Template
SHAN Shi-guang,AO Wen,CHEN Xi-lin
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Received:November 23, 1999    Revised:November 23, 1999
> 中文摘要: 面部特征提取是面部感知的重要内容,同时也是特定人的3D人脸动画应用中所必须的前期工作.在一个多级人脸检测模块检测到人脸大致区域和尺寸的基础上,提出并实现了一种基于面部图像纹理分布特性和可变形模板的由粗到细的面部特征提取策略,旨在解决可变形模板对参数初值依赖性强和计算时间长的问题.该策略首先利用眼睛区域的谷特性和频率特性定位两个虹膜中心点位置,然后用积分投影确定唇部和鼻子区域的位置,在此基础上进行关键特征点的检测,从而可以得到预定义特征模板参数的良好初值,最后基于贪心算法的多阶段轮换优化算法来搜索一个极小点
Abstract:Facial feature extraction is an important aspect in facial image perception system. And it is also a prerequisite in animation system for generating a given person's 3D-face image. In this paper, a coarse-to-fine facial feature extraction strategy is presented based on facial texture distribution and deformable template, using the pre-result of a multi-level face detection, which aims at solving such problems as the searching highly depending on the initial parameters and time-consuming that deformable template algorithm often suffers from. In proposed strategy, firstly, the center of the two irises is localized making use of the valley and frequency characteristics in the two eye regions. Then integral projection is used to localize the coarse position of the mouth and the nose. Secondly, some key feature points about these organs are estimated. Finally, according to these feature points, good initial parameters for the pre-defined templates are given and an optimal algorithm based on greedy algorithm and multi-epoch cycle is used to search for the minimum solution. Experiments indicate that the implementation of the proposed strategy is with good performance in both speed and accuracy.
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基金项目:国家自然科学基金资助项目(69789301);国家863高科技发展计划资助项目(863-306-ZT03-01-2);中国科学院百人计划资助项目 国家自然科学基金资助项目(69789301);国家863高科技发展计划资助项目(863-306-ZT03-01-2);中国科学院百人计划资助项目
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SHAN Shi-guang,AO Wen,CHEN Xi-lin.Facial Feature Extraction Based on Facial Texture Distribution and Deformable Template.Journal of Software,2001,12(4):570-577