An algorithm of face recognition under difficult lighting conditions

被引：0

作者：

Forczmanski, Pawel ^{[1
]}

Kukharev, Georgy ^{[1
]}

Shchegoleva, Nadezhda L'vovna ^{[2
]}

机构：

[1] W Pomeranian Univ Technol, Fac Comp Sci & Informat Syst, PL-71210 Szczecin, Poland

[2] St Petersburg State Electrotech Univ LETI, St Petersburg, Russia

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2012年 / 88卷 / 10B期

关键词：

face recognition; illumination reduction; two-dimensional Discrete Cosine Transform;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper addresses the problem of face recognition for images with lighting problems - flashes, shadows and very low brightness level. Presented algorithm, allowing to eliminate above problems, is based on 2DDCT (two-dimensional Discrete Cosine Transform) supported by brightness gradient reduction, reduction of spatial low frequency spectral components and fusion of spectral features conditioned on average intensities. Presented experiments were conducted on image databases Yale B and Yale B+.

引用

页码：201 / 204

页数：4

共 50 条

[21] Object recognition under various lighting conditions
Makihara, Y
Takizawa, M
Shirai, Y
Shimada, N
IMAGE ANALYSIS, PROCEEDINGS, 2003, 2749 : 899 - 906
[22] Imaging technique enhances face recognition in variable lighting conditions
不详
PHOTONICS SPECTRA, 2016, 50 (10) : 31 - 32
[23] Robust face matching under different lighting conditions
Yang, CHT
Lai, SH
Chang, LW
IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL I AND II, PROCEEDINGS, 2002, : A149 - A152
[24] Recognizing face images under different lighting conditions
Wang, HT
Wang, YS
2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING SIGNAL, PROCESSING EDUCATION, 2003, : 141 - 144
[25] Learning Face Appearance under Different Lighting Conditions
Moore, Brendan
Tappen, Marshall
Foroosh, Hassan
2008 IEEE SECOND INTERNATIONAL CONFERENCE ON BIOMETRICS: THEORY, APPLICATIONS AND SYSTEMS (BTAS), 2008, : 230 - +
[26] Face recognition under varying lighting conditions: improving the recognition accuracy for local descriptors based on weber-face followed by difference of Gaussians
Chi-Kien Tran
Tseng, Chin-Dar
Chang, Liyun
Lee, Tsair-Fwu
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2019, 42 (07) : 593 - 601
[27] Evaluation of the independent component analysis algorithm for face recognition under varying conditions
Shirvaikar, Mukul
Addepalli, Suresh
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS VI, 2008, 6812
[28] Acquiring linear subspaces for face recognition under variable lighting
Lee, KC
Ho, J
Kriegman, DJ
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2005, 27 (05) : 684 - 698
[29] Face recognition under varying lighting based on the harmonic images
Qing, Lai-Yun
Shan, Shi-Guang
Chen, Xi-Lin
Gao, Wen
Jisuanji Xuebao/Chinese Journal of Computers, 2006, 29 (05): : 760 - 768
[30] Single-sample face recognition under varying lighting conditions based on logarithmic total variation
Yang Zhang
Xiaobo Lu
Jun Li
Signal, Image and Video Processing, 2019, 13 : 657 - 665

← 1 2 3 4 5 →