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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Main Author: Li, Ming
Other Authors: Wen Changyun
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/71037
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Li, Ming
Illumination normalization using local variance in logarithmic domain
description 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.
author2 Wen Changyun
author_facet Wen Changyun
Li, Ming
format Final Year Project
author Li, Ming
author_sort Li, Ming
title 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
title_fullStr Illumination normalization using local variance in logarithmic domain
title_full_unstemmed Illumination normalization using local variance in logarithmic domain
title_sort illumination normalization using local variance in logarithmic domain
publishDate 2017
url http://hdl.handle.net/10356/71037
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