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Fusion of the complementary Discrete Cosine Features in the YIQ color space for face recognition
2008
Computer Vision and Image Understanding
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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]
2016
arXiv
pre-print
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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
2013
2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
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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
2008
2008 10th International Conference on Control, Automation, Robotics and Vision
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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]
2017
Advances in Intelligent Systems and Computing
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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
2015
IEEE transactions on multimedia
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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
2007
2007 IEEE 11th International Conference on Computer Vision
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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
2009
IEEE Transactions on Image Processing
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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
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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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
2013
5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013)
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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
2014
Sensors
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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
2018
Symmetry
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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
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition
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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
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
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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
2020
IEEE Access
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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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