Efficient Gabor Phase Based Illumination Invariant for Face Recognition
This paper presents a novel Gabor phase based illumination invariant extraction method aiming at eliminating the effect of varying illumination on face recognition. Firstly, It normalizes varying illumination on face images, which can reduce the effect of varying illumination to some extent. Secondl...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2017/1356385 |
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| _version_ | 1850214954750181376 |
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| author | Chunnian Fan Shuiping Wang Hao Zhang |
| author_facet | Chunnian Fan Shuiping Wang Hao Zhang |
| author_sort | Chunnian Fan |
| collection | DOAJ |
| description | This paper presents a novel Gabor phase based illumination invariant extraction method aiming at eliminating the effect of varying illumination on face recognition. Firstly, It normalizes varying illumination on face images, which can reduce the effect of varying illumination to some extent. Secondly, a set of 2D real Gabor wavelet with different directions is used for image transformation, and multiple Gabor coefficients are combined into one whole in considering spectrum and phase. Lastly, the illumination invariant is obtained by extracting the phase feature from the combined coefficients. Experimental results on the Yale B and the CMU PIE face database show that our method obtained a significant improvement over other related methods for face recognition under large illumination variation condition. |
| format | Article |
| id | doaj-art-82d5cb47120a468bb6df8a58f35b19f0 |
| institution | OA Journals |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-82d5cb47120a468bb6df8a58f35b19f02025-08-20T02:08:46ZengWileyAdvances in Multimedia1687-56801687-56992017-01-01201710.1155/2017/13563851356385Efficient Gabor Phase Based Illumination Invariant for Face RecognitionChunnian Fan0Shuiping Wang1Hao Zhang2Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaThis paper presents a novel Gabor phase based illumination invariant extraction method aiming at eliminating the effect of varying illumination on face recognition. Firstly, It normalizes varying illumination on face images, which can reduce the effect of varying illumination to some extent. Secondly, a set of 2D real Gabor wavelet with different directions is used for image transformation, and multiple Gabor coefficients are combined into one whole in considering spectrum and phase. Lastly, the illumination invariant is obtained by extracting the phase feature from the combined coefficients. Experimental results on the Yale B and the CMU PIE face database show that our method obtained a significant improvement over other related methods for face recognition under large illumination variation condition.http://dx.doi.org/10.1155/2017/1356385 |
| spellingShingle | Chunnian Fan Shuiping Wang Hao Zhang Efficient Gabor Phase Based Illumination Invariant for Face Recognition Advances in Multimedia |
| title | Efficient Gabor Phase Based Illumination Invariant for Face Recognition |
| title_full | Efficient Gabor Phase Based Illumination Invariant for Face Recognition |
| title_fullStr | Efficient Gabor Phase Based Illumination Invariant for Face Recognition |
| title_full_unstemmed | Efficient Gabor Phase Based Illumination Invariant for Face Recognition |
| title_short | Efficient Gabor Phase Based Illumination Invariant for Face Recognition |
| title_sort | efficient gabor phase based illumination invariant for face recognition |
| url | http://dx.doi.org/10.1155/2017/1356385 |
| work_keys_str_mv | AT chunnianfan efficientgaborphasebasedilluminationinvariantforfacerecognition AT shuipingwang efficientgaborphasebasedilluminationinvariantforfacerecognition AT haozhang efficientgaborphasebasedilluminationinvariantforfacerecognition |