| Real-time facial expression classification | |
| Wang Yubo ; Ai Haizhou ; Wu Bo ; Huang Chang | |
| 2010-05-06 ; 2010-05-06 | |
| 关键词 | Practical/ face recognition feature extraction Haar transforms image classification learning (artificial intelligence) real-time systems table lookup/ real-time facial expression classification Adaboost algorithm Haar-like features weak classifier look-up-table support vector machine SVM/ B6135E Image recognition B0230 Integral transforms C5260B Computer vision and image processing techniques C6170K Knowledge engineering techniques C1130 Integral transforms |
| 中文摘要 | In this paper, a real-time facial expression classification method based on real Adaboost algorithm is presented. Using Haar-like features weak classifiers of look-up-table (LUT) type, that have confidences in real values as their outputs, are designed and correspondingly, by using real Adaboost algorithm facial expression classifiers are learnt. The experimental results show that, in comparison with support vector machines (SVMs), this method achieves almost the same correction rate, and is nearly 300 times faster in speed. It could be almost in real time, and is of significance in applications. |
| 语种 | 中文 ; 中文 |
| 出版者 | Science Press ; China |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/10126]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | Wang Yubo,Ai Haizhou,Wu Bo,et al. Real-time facial expression classification[J],2010, 2010. |
| APA | Wang Yubo,Ai Haizhou,Wu Bo,&Huang Chang.(2010).Real-time facial expression classification.. |
| MLA | Wang Yubo,et al."Real-time facial expression classification".(2010). |
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