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Face Recognition across Pose using ELM Framework

Kumud Arora, Poonam Garg, Virendra P. Vishwakarma
2018 European Journal of Electrical Engineering and Computer Science  
This paper proposes the use of Extreme Learning Machine regression and classification framework to recognize face across pose.  ...  In addition to regression framework, this paper also explored few popular face features like LBP, HOG, appearance and entropy features with ELM classification framework.  ...  for effective face recognition.  ... 
doi:10.24018/ejece.2018.2.3.23 fatcat:7oaqhtqfx5bothukhu7d36wjba

Face Hallucination using Linear Models of Coupled Sparse Support [article]

Reuben Farrugia, Christine Guillemot
2015 arXiv   pre-print
Experimental results show that the proposed method outperforms six face super-resolution methods in terms of both recognition and quality.  ...  low-resolution and the highresolution manifolds using Multivariate Ridge Regression (MRR).  ...  David Donoho and his team at SparseLab for providing the BPDN l 1 -minimization solver.  ... 
arXiv:1512.06009v1 fatcat:sp5arfcxfvfzlkurlhvkxnjciu

Face Hallucination Using Linear Models of Coupled Sparse Support

Reuben A. Farrugia, Christine Guillemot
2017 IEEE Transactions on Image Processing  
Experimental results show that the proposed method outperforms six face super-resolution methods in terms of both recognition and quality.  ...  low-resolution and the highresolution manifolds using Multivariate Ridge Regression (MRR).  ...  David Donoho and his team at SparseLab for providing the BPDN l 1 -minimization solver.  ... 
doi:10.1109/tip.2017.2717181 pmid:28641259 fatcat:mm2kf4hrkbhhzbfeyex4e7gupe

Robust real-time detection, tracking, and pose estimation of faces in video streams

K.S. Huang, M.M. Trivedi
2004 Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.  
In this paper we present the development of a computational framework for robust detection, tracking, and pose estimation of faces captured by video arrays.  ...  We discuss the development of a multi-primitive skin-tone and edge-based detection module embedded in a tracking module for efficient and robust face detection and tracking.  ...  Face orientation is also estimated to select a suitable PTZ camera to capture the near frontal face for robust recognition.  ... 
doi:10.1109/icpr.2004.1334689 dblp:conf/icpr/HuangT04 fatcat:isjstj2cqja67p6r7sr3gwy3di

A unified SWSI–KAMs framework and performance evaluation on face recognition

Songcan Chen, Lei Chen, Zhi-Hua Zhou
2005 Neurocomputing  
In the end, the SWSI-KAM adopting Exponential kernel with different connectivities was emphatically investigated for robustness based on those face images which are added random noises and/or partially  ...  Simulation results on FERET face database show that, the SWSI-KAMs adopting such kernels as Exponential and Hyperbolic tangent kernels have advantages of configuration simplicity while their recognition  ...  Acknowledgement We thank anonymous reviewers very much for their valuable comments and suggestions for improving presentation of this paper. And at the same time we also thank National Science  ... 
doi:10.1016/j.neucom.2005.02.001 fatcat:kg7eoqaj2fhljo4oebjfkyedka

Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes

Mustain Billah, Adnan Anwar, Ziaur Rahman, Syed Md. Galib
2021 Energies  
In this paper, we investigate the impact of bi-level poisoning attacks on regression models of energy usage obtained from household appliances.  ...  The ordinary least squares (OLS) linear regression model is not penalized for its selection of weights.  ...  The lasso model faced an irregular increase in MSE as poisoning rate increased. Unlike OLS, the lasso model is penalized for the sum of absolute values of the weights.  ... 
doi:10.3390/en14133887 fatcat:auewj7rtjzd3tngk6wvqmmegre

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 3388-3400 Face recognition A Unified Deep Model for Joint Facial Expression Recognition, Face Syn- thesis, and Face Alignment.  ...  ., Ensemble of Deep Convolutional Neural Networks With Gabor Face Representations for Face Recognition.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Visual inference of human emotion and behaviour

Shaogang Gong, Caifeng Shan, Tao Xiang
2007 Proceedings of the ninth international conference on Multimodal interfaces - ICMI '07  
We illustrate our approach by three examples. (1) We introduce Canonical Correlation Analysis (CCA) and Matrix Canonical Correlation Analysis (MCCA) for capturing and analyzing spatial correlations among  ...  non-adjacent facial parts for facial behaviour analysis. (2) We extend Canonical Correlation Analysis to multimodality correlation for bebaviour inference using both facial and body gestures. (3) We model  ...  Reshape 2D matrices Ai and Bi to 1D vectorsãi and bi, and form data matrices A = [ã1, . . . ,ãN ] and B = [b1, . . . , bN ]; then compute the regression matrix R = ( A T ) −1 B T . 4.  ... 
doi:10.1145/1322192.1322199 dblp:conf/icmi/GongSX07 fatcat:vczxc3niinbiphpcbfbdxfv52q

Semi-supervised auto-encoder for facial attributes recognition

Soumaya Zaghbani, Noureddine Boujnah, Med Salim Bouhlel
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
In this paper, we present a method for facial attributes analysis.  ...  In this work, we exploited the robustness of deep learning (DL) using an updating version of autoencoders called the deep sparse autoencoder (DSAE).  ...  + 1 Softmax Regression Emotion Recognition Initial image Face detection . . . x1 Wi ̂1 +1 . . . . . . . . .  ... 
doi:10.12928/telkomnika.v18i4.14836 fatcat:3c6vbgtysrghzakkkiieegyzf4

Subject Adaptive Affection Recognition via Sparse Reconstruction

Chenyang Zhang, Yingli Tian
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
We also collect a new RGB-D dataset for affection recognition with large subjective variance.  ...  Experimental results demonstrate that the proposed affection recognition framework can increase the discriminative power especially for facial expressions.  ...  However, subjective robust expression recognition (ER) is harder than expressional robust face recognition.  ... 
doi:10.1109/cvprw.2014.59 dblp:conf/cvpr/ZhangT14 fatcat:lwqmuzlq45fercu4emvzizf3ky

Table of Contents

2020 IEEE Signal Processing Letters  
Ko 640 Identity-Aware Face Super-Resolution for Low-Resolution Face Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Zhang 705 Out-of-Distribution Detection for Reliable Face Recognition . . . . . . . . . . . . . . . . . . . . . . . . C. Yu, X. Zhu, Z. Lei, and S. Z.  ...  Wang 1535 Bi-Directional Seed Attention Network for Interactive Image Segmentation. . . . . . . . . . . . . . . . . . . .G. Song and K. M.  ... 
doi:10.1109/lsp.2020.3040840 fatcat:ezrfzwo6tjbkfhohq2tgec4m6y

Multiple Models Fusion for Emotion Recognition in the Wild

Jianlong Wu, Zhouchen Lin, Hongbin Zha
2015 Proceedings of the 2015 ACM on International Conference on Multimodal Interaction - ICMI '15  
By learning the optimal weight of each model based on the regression value, we fuse these models together.  ...  During the classification process, we use partial least square regression to calculate the regression value of each model.  ...  For each video clip, organizers apply pre-trained face models [36] for face detection and initialization. Then, the intraface tracking library [30] is adopted to align the detected facial images.  ... 
doi:10.1145/2818346.2830582 dblp:conf/icmi/WuLZ15 fatcat:xmjm7omlqvghtfcj4ykkfnn7ca

Hierarchical hyperlingual-words for multi-modality face classification

Ming Shao, Yun Fu
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
cross-modality face recognition with pose&expression variations  ...  The usage of specifically designed cameras for robust image classification, biometric and surveillance has emerged recently and it inevitably involves multi-modality classification problems.  ...  The histogram resolution for Hword is 16. recognition, as general face recognition methods, they can tackle pose&expression variations well.  ... 
doi:10.1109/fg.2013.6553697 dblp:conf/fgr/ShaoF13 fatcat:34mn4no4mvgrdgqefcugyehsjq

An Active Illumination and Appearance (AIA) Model for Face Alignment

Fatih Kahraman, Muhittin Gokmen, Sune Darkner, Rasmus Larsen
2007 2007 IEEE Conference on Computer Vision and Pattern Recognition  
Illumination conditions have an explicit effect on the performance of face recognition systems.  ...  In this paper, we propose an approach integrating face identity and illumination models in order to reach acceptable and stable face recognition rates.  ...  Stegmann for his early contributions to our ideas. We would like to thank Cenk D. Mendi for his helpful comments on this manuscript.  ... 
doi:10.1109/cvpr.2007.383399 dblp:conf/cvpr/KahramanGDL07 fatcat:denvmit65jfn7nmbvzwpntao3i

Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System [article]

Sze-Teng Liong, Y.S. Gan, Danna Zheng, Shu-Meng Lic, Hao-Xuan Xua, Han-Zhe Zhang, Ran-Ke Lyu, Kun-Hong Liu
2019 arXiv   pre-print
Owing to the development and advancement of artificial intelligence, numerous works were established in the human facial expression recognition system.  ...  Particularly, several variations of optical flow are computed in order to generate optimal images to lead to high recognition accuracy.  ...  Both the recognition results for AC-GAN and SAGAN are presented, with the Bi-WOOF block size ranged from 6 × 6 to 25 × 25.  ... 
arXiv:1904.01748v1 fatcat:ehw5plismbh3dosa6wowzq4zc4
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