Illumination normalization using local variance in logarithmic domain
It is very challenging to obtain the high recognition rate on face recognition under varying illumination because face appearance is changing remarkably by the lighting variation. The lighting variation can be deal as a low frequency multiplicative component according to the Lambertian reflectance m...
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sg-ntu-dr.10356-710372023-07-07T17:21:36Z Illumination normalization using local variance in logarithmic domain Li, Ming Wen Changyun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering It is very challenging to obtain the high recognition rate on face recognition under varying illumination because face appearance is changing remarkably by the lighting variation. The lighting variation can be deal as a low frequency multiplicative component according to the Lambertian reflectance model. In this project, we come out with the method using local variance in the logarithmic domain for the illumination normalization. Our proposed methods fLVF and aLVF can achieve a very high recognition rate in the experimental results using the Matlab software. By slightly contribute the accuracy on recognition rate, the proposed methods of fLVF and aLVF would be more competitive in the real-time application. Bachelor of Engineering 2017-05-15T01:38:28Z 2017-05-15T01:38:28Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71037 en Nanyang Technological University 49 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Li, Ming Illumination normalization using local variance in logarithmic domain |
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It is very challenging to obtain the high recognition rate on face recognition under varying illumination because face appearance is changing remarkably by the lighting variation. The lighting variation can be deal as a low frequency multiplicative component according to the Lambertian reflectance model. In this project, we come out with the method using local variance in the logarithmic domain for the illumination normalization. Our proposed methods fLVF and aLVF can achieve a very high recognition rate in the experimental results using the Matlab software. By slightly contribute the accuracy on recognition rate, the proposed methods of fLVF and aLVF would be more competitive in the real-time application. |
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Wen Changyun |
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Wen Changyun Li, Ming |
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Final Year Project |
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Li, Ming |
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Li, Ming |
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Illumination normalization using local variance in logarithmic domain |
title_short |
Illumination normalization using local variance in logarithmic domain |
title_full |
Illumination normalization using local variance in logarithmic domain |
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Illumination normalization using local variance in logarithmic domain |
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Illumination normalization using local variance in logarithmic domain |
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illumination normalization using local variance in logarithmic domain |
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2017 |
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http://hdl.handle.net/10356/71037 |
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1772826387144507392 |