人臉表情辨識基於支持向量機

Facial expression recognition based on SVM

張益誠(Yi-Cheng Zhang)

指導教授 ： 蔡鴻旭

國立虎尾科技大學/管理學院/資訊管理研究所/碩士(2009年)

摘要

本論文提出一種新型人臉表情辨識技術，未來可應用於數位學習的遠距教學。首先使用人臉偵測方法在影像中找出人臉區域，其中使用Haar-like feature 結合自商影像濾波器可改善不同光照時的人臉偵測率。接下來將人臉區域作影像的正規化，接著使用徑角轉換、離散餘旋轉換和加伯濾波器抽取人臉表情特徵。訓練一個支持向量機用來預測人臉區域的表情。最後從實驗結果顯示本論文提出的方法可勝過其他方法。

關鍵字

人臉表情辨識 ； 支特向量機 ； 徑角轉換 ； 離散餘旋轉換 ； 加伯濾波器

並列摘要

A novel facial expression recognition technique is proposed in this thesis. It can further be used in distance learning. First, it employs the face detection method to locate the face region in images, which integrate the Haar-like feature and the self quotient image filter to improve the detection rate due to the insufficient light and shade light. Second, face-block normalization is also carried out. Subsequently, angular radiual transform, discrete cosine transform and Gabor filter are used in the procedure of facial expression feature extraction. A trained support vector machine is conducted to predict the expression for an query face block. Finally, experimental results show that the performance of the proposed technique can be better than that of other methods.

並列關鍵字

Facial expression recognition ； support vector machine ； angular radial transform ； discrete cosine transform ； Gabor filte

參考文獻

參考文獻

[1] J. Yang, X. Ling, Y. Zhu, Z. Zheng, "A face detection and recognition system in color image series, "Mathematics and Computers in Simulation," vol. 77, pp. 531-539, 2008.

[2] H. Wang, S. Z. Li, Y. Wang J. Zhang, "Self Quotient Image for Face Recognition," International Conference on Image Processing, 2004.

[3] X. Zhou, X. Huang, Y. Wang, "Real-time Facial Expression Recognition in the Interactive Game Based on Embedded Hidden Markov Model," Proceedings of the International Conference on Computer Graphics, Imaging and Visualization, 2004.

[4] M.-P. Loh, Y.-P. Wong, C.-O. Wong, "Facial Expression Recognition for E-learning Systems using GF &Neural Network," Proceedings of the Sixth International Conference on Advanced Learning Technologies, 2006.