Face recognition using decimated redundant discrete wavelet transforms
文献类型：期刊论文
| 作者 | Li DQ(李德强); Tang XS(唐旭晟); Pedrycz, Witold |
| 刊名 | MACHINE VISION AND APPLICATIONS
 |
| 出版日期 | 2012 |
| 卷号 | 23期号:2页码:391-401 |
| 关键词 | Redundant discrete wavelet transform Decimated redundant discrete wavelet transform Face recognition Misalignment |
| ISSN号 | 0932-8092 |
| 产权排序 | 1 |
| 通讯作者 | 李德强 ; Pedrycz, Witold |
| 中文摘要 | As discrete wavelet transform (DWT) is sensitive to the translation/shift of input signals, its effectiveness could be lessened for face recognition, particularly when the face images are translated. To alleviate drawbacks resulted from this translation effect, we propose a decimated redundant DWT (DRDWT)-based face recognition method, where the decimation-based DWTs are performed on the original signal and its 1-stepshift, respectively. Even though the DRDWT realizes the decimation, it enables us to explore the translation invariant DWT representation for the periodic shifts of the probe image that is the most similar to the gallery images. Therefore, it can solve the problem of translation sensitivity of the original DWT and address the translation effect occurring between the probe image and the gallery image. To further improve the recognition performance, we combine the global wavelet features obtained from the entire face and the local wavelet features obtained from face patches to represent both holistic and detail facial features, apply separate classifiers to global and local features and combine the resulted global and local classifiers to form an ensemble classifier. Experimental results reported for the FERET and FRGCv2.0 databases show the effectiveness of the DRDWT method and quantify its performance. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | FEATURE-EXTRACTION ; GRAND CHALLENGE ; CLASSIFICATION ; REPRESENTATION ; CLASSIFIERS ; ALGORITHMS ; FEATURES ; NOISE |
| 收录类别 | SCI ; EI |
| 资助信息 | The authors would like to thank Yongguo Wu, Dr. Shiguang Shan and Dr. Xiaojun Qi for their helps in improving the paper, and thank the anonymous reviewers for their critical and constructive comments and suggestions. This work was supported by the National Natural Science Foundation of China under contract 60603097. |
| 语种 | 英语 |
| WOS记录号 | WOS:000302707100013 |
| 公开日期 | 2012-10-24 |
| 源URL | [http://ir.sia.cn/handle/173321/10064]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Li DQ,Tang XS,Pedrycz, Witold. Face recognition using decimated redundant discrete wavelet transforms[J]. MACHINE VISION AND APPLICATIONS,2012,23(2):391-401. |
| APA | Li DQ,Tang XS,&Pedrycz, Witold.(2012).Face recognition using decimated redundant discrete wavelet transforms.MACHINE VISION AND APPLICATIONS,23(2),391-401. |
| MLA | Li DQ,et al."Face recognition using decimated redundant discrete wavelet transforms".MACHINE VISION AND APPLICATIONS 23.2(2012):391-401. |
入库方式： OAI收割
来源：沈阳自动化研究所
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