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一种快速、鲁棒的唇动检测与定位方法
引用本文:王瑞,高文,马继涌.一种快速、鲁棒的唇动检测与定位方法[J].计算机学报,2001,24(8):866-871.
作者姓名:王瑞  高文  马继涌
作者单位:1. 哈尔滨工业大学计算机科学与工程系
2. 中国科学院计算技术研究所;哈尔滨工业大学计算机科学与工程系
3. 中国科学院计算技术研究所
基金项目:国家自然科学基金 (6 978930 1),中国科学院百人工程,国家“八六三”高技术研究发展计划“多功能感知机”项目基金资助
摘    要:提出了一种利用唇色在彩色空间分布信息和唇在人脸区域的几何分布特性进行快速、鲁棒的唇动检测与定位的方法。在该方法中,首先提出采用有约束的Fisher变换进行嘴唇图像增强;然后利用嘴唇在人脸区域的几何分布特性,来提高唇动定位的速度和准确性,唇动定位主要利用两种几何分布特性:(1)利用唇的区域面积和人脸的区域面积比值变化范围不大这一特性自适应确定区分唇色和肤色的值。(2)利用外唇参数与内唇参数之间有近似线性关系的假设,用外唇参数预测内唇参数,克服内唇定位经常陷于局部最小、定位不准的缺陷。实验证明,该唇动检测与定位系统无论从速度还是从可靠性、准确性都能满足应用的要求。

关 键 词:Fisher变换  多元线性回归分析  唇动检测  图像增强  定位  计算机
修稿时间:2000年5月24日

An Approach to Robust and Fast Locating of Lip Motion
WANG Rui GAO Wen , MA Ji Yong.An Approach to Robust and Fast Locating of Lip Motion[J].Chinese Journal of Computers,2001,24(8):866-871.
Authors:WANG Rui GAO Wen  MA Ji Yong
Affiliation:WANG Rui 1) GAO Wen 1),2) MA Ji Yong 2) 1)
Abstract:The problem of fast and robust lip locating becomes more and more important in multimode interfaces such as lip reading, facial expression recognition, lip motion synthesis and Synthetic/Natural Hybrid Coding (SNHC) in MPEG4. However, locating and tracking lip motion accurately are very difficult and challenging because the lip contours of different people vary greatly and are affected by lip variations, head movement and illuminant conditions while a speaker is uttering. A fast and robust lip detecting and locating approach which combines the information of lip color in color space and the geometrical feature of lip color in human face space is proposed in this paper. First, the Fisher transform with constraints is proposed to enhance the lip image. Then, the geometrical feature of lips in human face is proposed to increase the accuracy and speed of lip locating. Two key characteristics were found. One is that the ratio of lip color area to that of skin color is almost unchanged. This characteristic is used to adaptively set the threshold to separate the lip color and skin color. The other is the linear relation between parameters of inner lips and parameters of outer lips. The parameters of inner lips can be predicted by parameters of outer lips to overcome the local minimum problem of locating inner lips. The experimental results have shown that the approach to locate lips is very efficient both in locating speed and locating accuracy.
Keywords:Fisher transform  multivariate regression  lip detecting and locating  
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