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View all- Hu CLu XWu FWu SJing X(2019)General logarithm difference model for severe illumination variation face recognitionMultimedia Tools and Applications10.1007/s11042-019-07830-878:19(27425-27447)Online publication date: 1-Oct-2019
Face Recognition under Varying Illumination Based on Singular Value Decomposition
Authors: 
Yang Zhang, Changhui Hu, Xiaobo LuAuthors Info & Claims
Yang Zhang, Changhui Hu, Xiaobo LuAuthors Info & ClaimsPages 78 - 83
Abstract
Face recognition under the influence of complex illumination is a challenging problem to be solved. The common treatments for minimizing the affection of illumination variations are illumination preprocessing and illumination insensitive measure techniques. However, the methods proposed previously presents low performance. To realize high-accuracy recognition, we propose an novel illumination processing algorithm called CLAEN-SVD. Above all, singular value decomposition (SVD) is utilized to separate the face image into high-frequency and low-frequency features. Furthermore, we realize illumination normalization on the low-frequency features and enhancement on the high-frequency features via contrast limited adaptive histogram equalization (CLAHE) and threshold-value filtering, respectively. Last but not least, we reassemble the processed high-frequency and low-frequency features to form a normalized image. Experimental comparisons among our methods and some prevailing methods are put into effect on YALE B database. The experimental results demonstrate that CLAEN-SVD algorithm shows higher recognition.
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- Face Recognition under Varying Illumination Based on Singular Value Decomposition
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Published In
December 2017
272 pages
ISBN:9781450353830
DOI:10.1145/3177404
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- Nanyang Technological University
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New York, NY, United States
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Published: 27 December 2017
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ICVIP 2017
ICVIP 2017: International Conference on Video and Image Processing
December 27 - 29, 2017
Singapore, Singapore
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View all- Hu CLu XWu FWu SJing X(2019)General logarithm difference model for severe illumination variation face recognitionMultimedia Tools and Applications10.1007/s11042-019-07830-878:19(27425-27447)Online publication date: 1-Oct-2019
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