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Automatic video-based face verification and recognition by support vector machines

Gang Song, Haizhou Ai, Guangyou Xu, Li Zhuang, Hanqing Lu, Tianxu Zhang
2003 Third International Symposium on Multispectral Image Processing and Pattern Recognition  
This paper presents an automatic video based face verification and recognition system by Support Vector Machines (SVMs).  ...  Two different strategies for multi-class face verification and recognition problems with SVMs, "one-vs-all" and "one-vs-another", are discussed and compared in details.  ...  CONCLUSION AND DISCUSSION We present a video based face verification and recognition system by support vector machines in this paper.  ... 
doi:10.1117/12.538886 fatcat:feciq3bqzbg2hjg3ovfu2m3frq

Face recognition by generalized two-dimensional FLD method and multi-class support vector machines

Shiladitya Chowdhury, Jamuna Kanta Sing, Dipak Kumar Basu, Mita Nasipuri
2011 Applied Soft Computing  
., Face recognition by generalized two-dimensional FLD method and multi-class support vector machines, Appl. Soft Comput.  ...  Acknowledgements This work was supported by the UGC major research project (F. the authors would also like to thank the anonymous reviewers for their constructive suggestions to improve quality of the  ...  Multi-class support vector machines Support vector machines are originally designed for binary pattern classification.  ... 
doi:10.1016/j.asoc.2010.12.002 fatcat:7dgrnmmvazax3bbw7zepbosy74

Facial Action Units intensity estimation by the fusion of features with multi-kernel Support Vector Machine

Zuheng Ming, Aurelie Bugeau, Jean-Luc Rouas, Takaaki Shochi
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
In this context, we propose a method using the fusion of the different appearance and geometry features based on a multi-kernel Support Vector Machine (SVM) for the automatic estimation of the intensities  ...  Automatic facial expression recognition has emerged over two decades.  ...  Nevertheless, in the conventional systems either based on Support Vector Machine (SVM) or Support Vector Regression (SVR) for estimating the intensities of AUs, the different kinds of features can only  ... 
doi:10.1109/fg.2015.7284870 dblp:conf/fg/MingBRS15 fatcat:ob5h4qteljdp5czmrtayqosk3y

Face recognition by support vector machines

Guodong Guo, S.Z. Li, Kapluk Chan
Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)  
Support Vector Machines (SVMs) have been recently proposed as a new technique for pattern recognition.  ...  In this paper, the SVMs with a binary tree recognition strategy are used to tackle the face recognition problem.  ...  Conclusions We have presented the face recognition experiments using linear support vector machines with a binary tree classification strategy.  ... 
doi:10.1109/afgr.2000.840634 dblp:conf/fgr/GuoLC00 fatcat:qg74dcx5nzfc3kootghkgrhgnu

A subspace approach to face detection with support vector machines

Haizhou Ai, Lihang Ying, Guangyou Xu
Object recognition supported by user interaction for service robots  
We present a subspace approach to face detection with Support Vector Machine (SVMs).  ...  A linear SVM classifier is trained as a filter to produce a subspace in which a non-linear SVM classifier with Gaussian kernel is trained for face detection.  ...  Face Detection with Two-Stage SVMs Support Vector Machines SVM is a maximum margin classification tool based on Structural Risk Minimization (SRM) principle [7] .  ... 
doi:10.1109/icpr.2002.1044585 dblp:conf/icpr/AiYX02 fatcat:vvhluivauffxfljslcyyj5dn64

Probabilistic Weighted induced Multi-Class Support Vector Machines for Face Recognition

Aniruddha Dey, Shiladitya Chowdhury
2020 Informatica (Ljubljana, Tiskana izd.)  
This paper deals with a probabilistic weighted multi-class support vector machines (WMSVM) for face recognition.  ...  The support vector machines (SVM) has been applied to many application fields such as pattern recognition in last decade.  ...  Conclusion In this paper, we present the probabilistic weighted multi-class support vector machines for efficient face recognition.  ... 
doi:10.31449/inf.v44i4.3142 fatcat:nuug2z2anrfbnfvejguo4poll4

Face Recognition Based on the Combination Method of Multiple Classifier

Yang Libo, Chang Hao
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
This paper presents improved Eigen face method and method for identification of multiclassifier fusion based on support vector machine.  ...  a distance metric results to guide the support vector machine.  ...  Test Results Face Face Recognition Method Based on Support Vector Machine Support vector machine (SVM) is developed from the two class pattern recognition problem and the method which is based on SVM  ... 
doi:10.14257/ijsip.2016.9.4.14 fatcat:dnabmscnhrfcngkvyjegsbyjje

Face Recognition using Machine Learning Algorithms

A D
2019 JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES  
Using machine learning methods can be considered as a more effective way. In this paper, a method based on machine learning algorithms for face recognition is presented.  ...  The proposed algorithms perform the unknown image by comparing it with known and stored images in databases and also obtaining information from a person familiar with the process of face recognition.  ...  However, optimal face identification was achieved only when humans and machines worked in collaboration [IX] . on the depth of learning face recognition, face recognition application to start research  ... 
doi:10.26782/jmcms.2019.06.00017 fatcat:yqvw5hw63rhotlwx6amm6xo7jq

Using Support Vector Machine And Local Binary Pattern For Facial Expression Recognition

Ayeni Olaniyi Abiodun
2015 Zenodo  
Five expressions will be classified which include: fear, happiness, disgust, sadness and surprise using the innovations of support vector machine (SVM) and local binary pattern (LBP).  ...  This research intends to bring about the development of a face recognition model and applying it to a real-data set of expressions.  ...  Support Vector Algorithm a. Support Vector Machine (SVM), a machine learning technique with high recognition rate for facial recognition will be used.  ... 
doi:10.5281/zenodo.898045 fatcat:tqbdqpctbjb2bc7uzy443xmo4q

GENDER CLASSIFICATION FROM FACE IMAGES

Eyyüp Yıldız, Tolga Ensari
2017 Journal of Naval Science and Engineering  
with support vector machine method.  ...  We use all part of the face images instead of taking some part of them. Support Vector Machine (SVM) and k-nearest neighbor algorithms used for classification test phases.  ...  results for FEI face data set Accuracy (%) k-nearest neighbour Support vector machine 86 80  ... 
doaj:850ab5851e534ee9b832ad5bcbc533f6 fatcat:swoefcanm5buvebpu7cxlfxcxe

Research on Fast Face RecognitionAlgorithm Based on Block CS-LBP and HIK Kernel Method

Shaoming Pan, Gongkun Luo, Baozhong Ke, Kejiang Li
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
ⓒ 2016 SERSC the author chooses support vector machine classifier which is the fastest and the most suitable for face recognition, and improves the existing support vector machine by means of histogram  ...  Inaddition, the support vector machine of the histogram cross kernel function can converge faster to improve the efficiency of face recognition.  ...  Classification Algorithm for Face Recognition Feature Support Vector Machine Support vector machine (SVM) [10] developed from the perceptron,traditional perception machine [9] separate the data by  ... 
doi:10.14257/ijsip.2016.9.12.20 fatcat:5rfth3fhsjakpiuksx5mcn7lvq

Automatic Attendance System using Face Recognition

Dona Joseph
2020 International Journal for Research in Applied Science and Engineering Technology  
Here we use the opencv library dlib for face recognition.  ...  Automatic face recognition technologies have made many improvements within the changing world.  ...  . 2) Support Vector Machine: In machine learning, support-vector machines (SVMs) are supervised learning models with associated learning algorithms.  ... 
doi:10.22214/ijraset.2020.30309 fatcat:kgth4vh275hwtbe7rp5vvpkcdm

Application Support Vector Machine on Face Recognition for Gender Classification

Z Rustam, A A Ruvita
2018 Journal of Physics, Conference Series  
This paper presents face recognition for gender classification using Support Vector Machine (SVM).  ...  In this research, we have obtained face recognition accuracy rates for gender classification using Support Vector Machine (SVM) with different kernels.  ...  Support Vector Machine (SVM) Support Vector Machines (SVM) is a learning approach originally developed by Vapnik and colleagues.  ... 
doi:10.1088/1742-6596/1108/1/012067 fatcat:cctd6gndanfhbp36qsmx7siyv4

Interactive emotion recognition using Support Vector Machine for human-robot interaction

Ching-Chih Tsai, You-Zhu Chen, Ching-Wen Liao
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
This paper presents an interactive emotion recognition system using support vector machine for human-robot interaction.  ...  The proposed emotion recognition algorithm is composed of Harr wavelet transform, principal component analysis (PCA) method, and support vector machine (SVM).  ...  ACKNOWLEDGEMENTS The authors deeply acknowledge final support in part from National Science Council, Taiwan, ROC, under contract 96-2221-E-005-106-MY2, and in part from the ministry of education, Taiwan  ... 
doi:10.1109/icsmc.2009.5346180 dblp:conf/smc/TsaiCL09 fatcat:gije2mdzwjdopmbcu36jg4vx24

Vision based Office Automation and Security System using Machine Learning and Internet of Things

Amber Goel, Apaar Khurana, Pranav Sehgal, K Suganthi
2018 International Journal of Engineering & Technology  
Raspberry Pi is the heart of the project and it is fuelled by Machine Learning Algorithms using Open CV and Internet of Things.  ...  Face recognition is also being used for uploading attendance and switching ON and OFF appliances automatically.  ...  Acknowledgement We would like to express our sincere gratitude to the staff of Department of Electronics and Communication, SRM Institute of Science and Technology, Chennai for their encouragement and support  ... 
doi:10.14419/ijet.v7i2.24.11996 fatcat:3qsr5zanyvb5pbqw4p4pibq7yi
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