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Fusion of the complementary Discrete Cosine Features in the YIQ color space for face recognition

Zhiming Liu, Chengjun Liu
2008 Computer Vision and Image Understanding  
researchers in computer vision, pattern recognition, and machine learning.  ...  This dissertation thus uses the fused DFT and LBP features in two hybrid color spaces, the RIQ and the VIQ color spaces, respectively, for improving face recognition performance.  ...  As can be fused to enhance discriminating power for face recognition.  ... 
doi:10.1016/j.cviu.2007.12.002 fatcat:u74srjroxbggnnwhkrliso6mem

Sparse Graphical Representation based Discriminant Analysis for Heterogeneous Face Recognition [article]

Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li
2016 arXiv   pre-print
To handle the complex facial structure and further improve the discriminability, a spatial partition-based discriminant analysis framework is presented to refine the adaptive sparse vectors for face matching  ...  In this paper, we propose a novel sparse graphical representation based discriminant analysis (SGR-DA) approach to address aforementioned face recognition in heterogeneous scenarios.  ...  The proposed column-based, row-based, and learning-based spatial partition strategies are complementary.  ... 
arXiv:1607.00137v1 fatcat:tlgxc5ahrzgm7nil2jwhqo6nwu

Multiview discriminative learning for age-invariant face recognition

Diana Sungatullina, Jiwen Lu, Gang Wang, Pierre Moulin
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
In this paper, we propose a new multiview discriminative learning (MDL) method for age-invariant face recognition, which is a challenging and important problem in many practical face recognition systems  ...  gradient orientation pyramid (GOP) for each face image to exploit the discriminative information.  ...  ACKNOWLEDGEMENT This work is supported by the research grant for the Human Sixth Sense Program at the Advanced Digital Sciences Center (ADSC) from the Agency for Science, Technology and Research (A*STAR  ... 
doi:10.1109/fg.2013.6553724 dblp:conf/fgr/SungatullinaLWM13 fatcat:h5l6namqmbdabkgagsz43qw2sm

Robust fusion using boosting and transduction for component-based face recognition

Fayin Li, Harry Wechsler, Massimo Tistarelli
2008 2008 10th International Conference on Control, Automation, Robotics and Vision  
Towards that end we propose a model-free and non-parametric component-based face recognition strategy with robust decisions for data fusion that are driven by transduction and boosting.  ...  Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise.  ...  Sects III and IV address complementary issues related to forensics and discriminative methods.  ... 
doi:10.1109/icarcv.2008.4795558 dblp:conf/icarcv/LiWT08 fatcat:6kzupnnipbbvbjoqrx3liotigu

Multi-view Discriminative Manifold Embedding for Pattern Classification [chapter]

Xuezhen Wang, Yunxia Guo, Ziqiang Wang
2017 Advances in Intelligent Systems and Computing  
In many real-world pattern applications such as face recognition, multiple feature descriptors can provide complementary information in characterizing image from different viewpoints.  ...  Motivated by this concern, we propose a new multi-view discriminative manifold embedding (MDME) method for classification by making use of intra-class geometry and inter-class marginal information as well  ...  This letter proposes a new manifold learning algorithm, called multi-view discriminative manifold embedding (MDME) for feature extraction and classification.  ... 
doi:10.1007/978-3-319-60744-3_18 fatcat:akry3bw3lnehpiaklcouobisbm

Robust Face Recognition via Multimodal Deep Face Representation

Changxing Ding, Dacheng Tao
2015 IEEE transactions on multimedia  
degradation for traditional face recognition algorithms.  ...  This paper proposes a comprehensive deep learning framework to jointly learn face representation using multimodal information.  ...  ACKNOWLEDGMENT The authors would like to thank the guest editor and the anonymous reviewers for their careful reading and valuable remarks.  ... 
doi:10.1109/tmm.2015.2477042 fatcat:axtphq4be5cqzgurxqswjwy3ve

Hierarchical Ensemble of Global and Local Classifiers for Face Recognition

Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
2007 2007 IEEE 11th International Conference on Computer Vision  
This paper proposes a novel face recognition method which exploits both global and local discriminative features.  ...  In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition.  ...  Ross and the anonymous reviewers, whose comments helped to improve the paper greatly.  ... 
doi:10.1109/iccv.2007.4409060 dblp:conf/iccv/SuSCG07 fatcat:xfegmfzba5cgfez44amdlsbfme

Hierarchical Ensemble of Global and Local Classifiers for Face Recognition

Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
2009 IEEE Transactions on Image Processing  
This paper proposes a novel face recognition method which exploits both global and local discriminative features.  ...  In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition.  ...  Ross and the anonymous reviewers, whose comments helped to improve the paper greatly.  ... 
doi:10.1109/tip.2009.2021737 pmid:19556198 fatcat:7t7q2i4yergdpoazjelkxo7rqq

Face recognition with learning-based descriptor

Zhimin Cao, Qi Yin, Xiaoou Tang, Jian Sun
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
The resulting face representation, learning-based (LE) descriptor, is compact, highly discriminative, and easy-to-extract.  ...  We present a novel approach to address the representation issue and the matching issue in face recognition (verification).  ...  Conclusion and discussion We have introduced a new approach for face recognition using learning-based (LE) descriptor and pose-adaptive matching.  ... 
doi:10.1109/cvpr.2010.5539992 dblp:conf/cvpr/CaoYTS10 fatcat:wp5qzveg2ze7dp5be6xdptupiu

Small Sample Size Face Recognition using Random Quad-Tree based Ensemble Algorithm

Cuicui Zhang, T. Matsuyama, Xuefeng Liang
2013 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013)  
Moreover, R-QT encodes not only discriminant features but also the geometric information across the face region, which further improves the recognition accuracy.  ...  Conventional face recognition methods face a great challenge on SSS as the trained feature space is overfitted to the small training set.  ...  However, since these methods partition face image into small patches, and learn a base classifier from each single patch.  ... 
doi:10.1049/ic.2013.0270 dblp:conf/icdp/ZhangLM13 fatcat:aqs5a25cnnaqtpzkp2lu5q7eiy

Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks

Cuicui Zhang, Xuefeng Liang, Takashi Matsuyama
2014 Sensors  
Individual recognition often uses faces as a trial and requires a large number of samples during the training phrase.  ...  More diverse base classifiers can be generated from the expanded face space, and more appropriate base classifiers are selected for ensemble.  ...  Acknowledgments This work is supported by: the Japan Society for the Promotion of Science, Scientific Research KAKENHIfor the Grant-in-Aid for Young Scientists (ID: 25730113).  ... 
doi:10.3390/s141223509 pmid:25494350 pmcid:PMC4299075 fatcat:ai2n344vrnh7pftgiejab4hpsm

Hyperspectral Face Recognition with Patch-Based Low Rank Tensor Decomposition and PFFT Algorithm

Mengmeng Wu, Dongmei Wei, Liren Zhang, Yuefeng Zhao
2018 Symmetry  
Hyperspectral imaging technology with sufficiently discriminative spectral and spatial information brings new opportunities for robust facial image recognition.  ...  Many studies have proven that both global and local facial features play an important role in face recognition.  ...  Figure 10 . 10 The top four most discriminative patches learned by the Fisher ratio. Figure 10 . 10 The top four most discriminative patches learned by the Fisher ratio.  ... 
doi:10.3390/sym10120714 fatcat:psqocvl76rbe5b67zqi7yfxvla

Deep Learning Face Representation from Predicting 10,000 Classes

Yi Sun, Xiaogang Wang, Xiaoou Tang
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
The proposed features are extracted from various face regions to form complementary and over-complete representations.  ...  This paper proposes to learn a set of high-level feature representations through deep learning, referred to as Deep hidden IDentity features (DeepID), for face verification.  ...  Acknowledgement We thank Xiaoxiao Li and Cheng Li for their help and discussion. This work is partially supported by "CUHK Computer Vision Cooperation" grant from Huawei, the  ... 
doi:10.1109/cvpr.2014.244 dblp:conf/cvpr/SunWT14 fatcat:gdyfboylxjhs5of4dag6ckwznq

Subject Adaptive Affection Recognition via Sparse Reconstruction

Chenyang Zhang, Yingli Tian
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
Experimental results demonstrate that the proposed affection recognition framework can increase the discriminative power especially for facial expressions.  ...  Joint recognition strategy is also demonstrated that it can utilize complementary information in both models so that to reach better recognition rate.  ...  Acknowledgment This work was supported in part by NSF grant EF1137172, IIP-1343402, and FHWA grant DTFH61-12-H-00002.  ... 
doi:10.1109/cvprw.2014.59 dblp:conf/cvpr/ZhangT14 fatcat:lwqmuzlq45fercu4emvzizf3ky

PA-GAN: A Patch-Attention based Aggregation Network for Face Recognition in Surveillance

Ming Liu, Jinjin Liu, Ping Zhang, Qingbao Li
2020 IEEE Access  
It used an end-to-end ensemble trunk-branch CNN to learn pose-invariant and occlusion-robust representations for efficiently video face recognition. B.  ...  for surveillance face recognition.  ...  Author Name: Preparation of Papers for IEEE Access (February 2017) VOLUME XX, 2017  ... 
doi:10.1109/access.2020.3017779 fatcat:z62ycxblifdydoshfte6nka6le
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