| 基于FDCT的视频人脸识别方法 |
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| 引用本文： | 郭建华,赵怀勋,陈晓楠.基于FDCT的视频人脸识别方法[J].计算机工程,2011,37(4):178-180. |
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| 作者姓名： | 郭建华 赵怀勋 陈晓楠 |
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| 作者单位： | 1. 武警工程学院通信工程系,西安,710086
2. 武警工程学院电子技术系,西安,710086 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 为克服在图像上直接使用快速离散Curvelet变换不能完全提取有用特征信息的缺点，利用HSI颜色空间各通道互不相关的特点，结合快速离散Curvelet变换，提出一种新的视频人脸识别方法，并设计一个视频人脸识别系统以证明该方法的有效性。实验结果表明，该系统只需2 s (35帧/s)即可识别人脸，正确识别率达99.5%，对表情有一定的鲁棒性，可在
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| 关 键 词： | 视频人脸识别 快速离散Curvelet变换 最小二乘支持向量机 HSI颜色模型 特征融合 |
Video Face Recognition Method Based on Fast Discrete Curvelet Transform |
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| GUO Jian-hua,ZHAO Huai-xun,CHEN Xiao-nan.Video Face Recognition Method Based on Fast Discrete Curvelet Transform[J].Computer Engineering,2011,37(4):178-180. |
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| Authors: | GUO Jian-hua ZHAO Huai-xun CHEN Xiao-nan |
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| Affiliation: | b(a.Dept.of Communication Engineering;b.Dept.of Electronics Technology,College of Armed Police Force Engineering,Xi’an 710086,China) |
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| Abstract: | In order to overcome the shortcomings in extracting effective features incompletely with Fast Discrete Curvelet Transform（FDCT） on the images, this paper proposes a new video face recognition method, which takes the advantages of decorrelated HSI color space channels and F DCT. A video face recognition system is designed to prove the validity of the method. Experimental result proves that it only needs 2 seconds （35 f/s） to recognize faces, its recognition accuracy is around 99.5%, and it is robust to expressions, and it can be applied in intelligent terminal. |
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| Keywords: | video face recognition Fast Discrete Curvelet Transform（FDCT） LS-SVM HSI color model feature fusing |
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