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J4  2011, Vol. 45 Issue (1): 30-36    DOI: 10.3785/j.issn.1008-973X.2011.01.005
    
Facial feature tracking using three-dimensional model and
Gabor wavelet
ZHAN Jiang-tao1,2, LIU Qiang3, CHAI Chun-lei1
1.College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;2.Department of
Design and Art, Zhejiang Institute of Mechanical and Electrical Engineering, Hangzhou 310053, China;
3. Academy of Arts and Design, Tsinghua University, Beijing 100084, China
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Abstract  

A new facial feature points tracking scheme was proposed by integrating three-dimensional geometric face modelbased tracking method and facial feature points tracking method with Gabor wavelet in bundle adjustment way in order to realize the robustness and accuracy of facial tracking system. The tracking method with Gabor wavelet was used to get the initial feature points. Then the model-based tracking method was used to get the final optimal feature points. The scheme overcame the disadvantage of using two-dimensional image features compared with three other typical methods. The scheme can be used for robust, real-time and wide-angle facial feature tracking.



Published: 03 March 2011
CLC:  TP 391.41  
Cite this article:

ZHAN Jiang-tao, LIU Qiang, CHAI Chun-lei. Facial feature tracking using three-dimensional model and
Gabor wavelet. J4, 2011, 45(1): 30-36.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2011.01.005     OR     http://www.zjujournals.com/eng/Y2011/V45/I1/30


基于三维模型与Gabor小波的人脸特征点跟踪方法

为了实现人脸特征点跟踪系统的鲁棒性和精确性,使用光束平差法模型将基于三维人脸几何模型的跟踪方法与基于Gabor小波的特征点跟踪方法结合起来,提出基于三维模型与Gabor小波的人脸特征点跟踪方法.该方法使用基于Gabor小波的特征跟踪方法来得到每帧的初始特征点,使用基于三维人脸几何模型的整合优化跟踪方法来得到每帧的最终特征点.与3类典型人脸特征点跟踪方法的对比实验结果表明,该方法克服了以往方法基于二维图像信息来寻找特征点的局限性,可以实现鲁棒的、实时的、大角度的人脸特征点跟踪.

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