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CASIA OpenIR

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A Novel Adaptively Binarizing Magnitude Vector Method in Local Binary Pattern Based Framework for Texture Classification 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2022, 卷号: 29, 页码: 852-856
作者:  Hu, Shiqi;  Pan, Zhibin;  Dong, Jing;  Ren, Xincheng
收藏  |  浏览/下载：178/0  |  提交时间：2022/06/10
Local binary pattern (LBP)  adaptively binarizing magnitude vector (ABMV)  threshold  average vector threshold  texture classification  
A Robust Face Recognition Method Combining LBP with Multi-mirror Symmetry for Images with Various Face Interferences 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 671-682
作者:  Shui-Guang Tong;  Yuan-Yuan Huang;  Zhe-Ming Tong
浏览  |  Adobe PDF(1191Kb)  |  收藏  |  浏览/下载：123/49  |  提交时间：2021/02/22
Face recognition (FR)  local binary pattern (LBP)  facial symmetry  image interferences  multi-mirror average.  
Incremental Learning for Video-Based Gait Recognition With LBP Flow 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2012, 卷号: 43, 期号: 1, 页码: 77-89
作者:  Maodi Hu;  Yunhong Wang;  Zhaoxiang Zhang;  De Zhang;  Little, James J
收藏  |  浏览/下载：122/0  |  提交时间：2017/02/09
Local Binary Pattern (Lbp) Flow  Gait Recognition  Incremental Learning  Individual Hidden Markov Model (Hmm) (iHmm)  
Face Recognition by Exploring Information Jointly in Space, Scale and Orientation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2011, 卷号: 20, 期号: 1, 页码: 247-256
作者:  Lei, Zhen;  Liao, Shengcai;  Pietikainen, Matti;  Li, Stan Z.
收藏  |  浏览/下载：145/0  |  提交时间：2015/11/08
Conditional Mutual Information (Cmi)  Face Recognition  Gabor Volume Based Local Binary Pattern (Gv-lbp)  Gabor Volume Representation  Local Binary Pattern (Lbp)  
Illumination invariant face recognition using near-infrared images 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2007, 卷号: 29, 期号: 4, 页码: 627-639
作者:  Li, Stan Z.;  Chu, RuFeng;  Liao, ShengCai;  Zhang, Lun
收藏  |  浏览/下载：280/0  |  提交时间：2015/11/08
Biometrics  Face Recognition  Near Infrared (Nir)  Illumination Invariant  Local Binary Pattern (Lbp)  Statistical Learning