首页 | 本学科首页   官方微博 | 高级检索  
     

基于改进的level set嘴唇轮廓定位方法
引用本文:奉小慧. 基于改进的level set嘴唇轮廓定位方法[J]. 计算机应用, 2009, 29(1): 94-94
作者姓名:奉小慧
作者单位:华南理工大学,电子与信息学院,广州,510640
基金项目:国家自然科学基金,华南理工大学校科研和教改项目 
摘    要:根据嘴唇的几何分布特性,提出一种基于多方向的水平集方法(Multi-Level set)来进行嘴唇轮廓的定位。Multi-Level set方法通过对嘴唇图像多个方向的滤波得到新的边缘检测函数来增强嘴唇轮廓的梯度信息,然后利用能量函数最小化来使初始曲线向嘴唇轮廓靠近,达到说话人嘴唇轮廓的精确定位。实验证明用Multi-Level set方法定位嘴唇轮廓的准确率比level set提高了7.32%。

关 键 词:唇读  嘴唇轮廓定位  水平集方法  曲线演化
收稿时间:2008-07-07

Improved level set-based approach for lip contour detection
FENG Xiao-hui. Improved level set-based approach for lip contour detection[J]. Journal of Computer Applications, 2009, 29(1): 94-94
Authors:FENG Xiao-hui
Affiliation:School of Electronic and Information Engineering;South China University of Technology;Guangzhou Guangdong;510640;China
Abstract:To detect lip contour, a multi-direction level set approach (Multi-Level set) was proposed for detection according to the lip geometric distribution. Multi-Level set approach could strengthen the gradient information of the lip contour by using mutil-direction filters on images. And then the initial contour of lips was made to evolve to speak to people around the lip actual contour by minimuming energy function. Experiments on mouth images show that the improved accuracy of the shape contour detection using Multi-Level set approach is nearly 7.32% over level set approach.
Keywords:lipreading  lip contour detection  level set approach  curves evolving
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号