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题名: Face recognition using decimated redundant discrete wavelet transforms
作者: Li DQ(李德强) ; Tang XS(唐旭晟) ; Pedrycz, Witold
作者部门: 光电信息技术研究室
关键词: Redundant discrete wavelet transform ; Decimated redundant discrete wavelet transform ; Face recognition ; Misalignment
刊名: MACHINE VISION AND APPLICATIONS
ISSN号: 0932-8092
出版日期: 2012
卷号: 23, 期号:2, 页码:391-401
收录类别: SCI ; EI
产权排序: 1
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记录号: WOS:000302707100013
WOS标题词: Science & Technology ; Technology
类目[WOS]: Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic
关键词[WOS]: FEATURE-EXTRACTION ; GRAND CHALLENGE ; CLASSIFICATION ; REPRESENTATION ; CLASSIFIERS ; ALGORITHMS ; FEATURES ; NOISE
研究领域[WOS]: Computer Science ; Engineering
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/10064
Appears in Collections:光电信息技术研究室_期刊论文

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