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3D Face Recognition: A Survey [article]

Yaping Jing, Xuequan Lu, Shang Gao
2021 arXiv   pre-print
Face recognition is one of the most studied research topics in the community.  ...  In recent years, the research on face recognition has shifted to using 3D facial surfaces, as more discriminating features can be represented by the 3D geometric information.  ...  In this paper, a Support Vector Machine (SVM) and the fusion of these descriptors at both features and score level were applied to improve the accuracy.  ... 
arXiv:2108.11082v1 fatcat:drpuqdt6ore5dje4hiamsmi43i

Towards Robust 3D Face Verification Using Gaussian Mixture Models

Janez Križaj, Vitomir Štruc, Simon Dobrišek
2012 International Journal of Advanced Robotic Systems  
We successfully demonstrate the feasibility of the proposed modifications on the Face Recognition Grand Challenge data set.  ...  This paper focuses on the use of Gaussian Mixture models (GMM) for 3D face verification.  ...  However, recent research suggest that better recognition results can be achieved by relying on support vector machines (SVM) [37, 38] for the classification task.  ... 
doi:10.5772/52200 fatcat:uxxoi2atkzfn5n6lhkiznxexqi

3D face recognition: a survey

Song Zhou, Sheng Xiao
2018 Human-Centric Computing and Information Sciences  
Then the data are processed by feature extraction algorithms to find the features that could be used to differentiate faces. The features of each face are then stored into the feature database.  ...  Although 2D face recognition research made significant progresses in recent years, its accuracy is still highly depended on light conditions and human poses [3, 4] .  ...  Availability of data and materials All data generated or analysed during this study are included in this published article [9, 10, [43] [44] [45] [46] [47] [48] [49] [50] [51] [52] .  ... 
doi:10.1186/s13673-018-0157-2 fatcat:xwhabcqu6zgy7bezu5744hgvhq

Recent Advances on Singlemodal and Multimodal Face Recognition: A Survey

Hailing Zhou, Ajmal Mian, Lei Wei, Doug Creighton, Mo Hossny, Saeid Nahavandi
2014 IEEE Transactions on Human-Machine Systems  
Efforts have been made to explore alternate face modalities such as infrared (IR) and 3-D for face recognition.  ...  Studies also demonstrate that fusion of multiple face modalities improve performance as compared with singlemodal face recognition.  ...  Bass and anonymous reviewers for their suggestions on earlier version of this manuscript.  ... 
doi:10.1109/thms.2014.2340578 fatcat:hjmjblqmgjd57eq3v2r2c3pn6i

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  
We evaluate the proposed method using two large-scale face databases: FERET and FRGC version 2.0.  ...  This paper proposes a novel face recognition method which exploits both global and local discriminative features.  ...  [38] , to extend this work to solve partially occluded face recognition problem.  ... 
doi:10.1109/iccv.2007.4409060 dblp:conf/iccv/SuSCG07 fatcat:xfegmfzba5cgfez44amdlsbfme

Making the Most of Single Sensor Information: A Novel Fusion Approach for 3D Face Recognition Using Region Covariance Descriptors and Gaussian Mixture Models

Janez Križaj, Simon Dobrišek, Vitomir Štruc
2022 Sensors  
In the last step, a support vector machine classification scheme is used to make a decision about the identity of the input 3D facial image.  ...  In this paper, we focus on face recognition using images captured by a single 3D sensor and propose a method based on the use of region covariance matrixes and Gaussian mixture models (GMMs).  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/s22062388 pmid:35336559 pmcid:PMC8950587 fatcat:z3lfn6aaljdvfjxvxzmi7x4whu

Hierarchical Ensemble of Global and Local Classifiers for Face Recognition

Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
2009 IEEE Transactions on Image Processing  
We evaluate the proposed method using two large-scale face databases: FERET and FRGC version 2.0.  ...  This paper proposes a novel face recognition method which exploits both global and local discriminative features.  ...  [38] , to extend this work to solve partially occluded face recognition problem.  ... 
doi:10.1109/tip.2009.2021737 pmid:19556198 fatcat:7t7q2i4yergdpoazjelkxo7rqq

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  
The aforementioned methods have been evaluated using two large-scale databases, namely, the Face Recognition Grand Challenge (FRGC) version 2 database and the FERET face database.  ...  researchers in computer vision, pattern recognition, and machine learning.  ...  Besides the images used in the previous sections, which contain the partial face contour information, the images containing the fine face region are cropped from the original FRGC images.  ... 
doi:10.1016/j.cviu.2007.12.002 fatcat:u74srjroxbggnnwhkrliso6mem

3-D Face Recognition Using eLBP-Based Facial Description and Local Feature Hybrid Matching

Di Huang, M. Ardabilian, Yunhong Wang, Liming Chen
2012 IEEE Transactions on Information Forensics and Security  
It displays a rank-one recognition rate of 97.6% and a verification rate of 98.4% at a 0.001 FAR on the FRGC v2.0 database without any face alignment.  ...  This paper presents an effective method for 3D face recognition using a novel geometric facial representation along with a local feature hybrid matching scheme.  ...  RANK II -ONE RECOGNITION RATES USING THE PROTOCOL OF NEUTRAL VS.  ... 
doi:10.1109/tifs.2012.2206807 fatcat:t36p2jipgfgddpfa7l7vvrjg2y

Learning the Spherical Harmonic Features for 3-D Face Recognition

Peijiang Liu, Yunhong Wang, Di Huang, Zhaoxiang Zhang, Liming Chen
2013 IEEE Transactions on Image Processing  
In this paper, a competitive method for 3D face recognition (FR) using Spherical Harmonic Features (SHF) is proposed.  ...  Experiments have been carried out on three public 3D face datasets, namely SHREC2007, FRGC v2.0 and Bosphorus, having increasing difficulties in terms of facial expression, pose and occlusion, and which  ...  Vector Machines (SVM), boosting methods, SIFT and so on.  ... 
doi:10.1109/tip.2012.2222897 pmid:23060332 fatcat:cj36dux4bjbm7puwdk7geq6oaa

A Survey on Periocular Biometrics Research [article]

Fernando Alonso-Fernandez, Josef Bigun
2018 arXiv   pre-print
on the recognition accuracy.  ...  A number of aspects are described, including: i) existing databases, ii) algorithms for periocular detection and/or segmentation, iii) features employed for recognition, iv) identification of the most  ...  The following acronyms are not defined elsewhere: 'SVM'='Support Vector Machines'. ness of face or iris systems, showing a surprisingly high discrimination ability .  ... 
arXiv:1810.03360v1 fatcat:hyopg2dgivhhpdebgcreuvw7zq

Sparse Matching of Salient Facial Curves for Recognition of 3-D Faces With Missing Parts

Stefano Berretti, Alberto del Bimbo, Pietro Pala
2013 IEEE Transactions on Information Forensics and Security  
Following recent related work, the recognition accuracy of the approach is experimented using two datasets, both comprising scans with missing parts: the Face Recognition Grand Challenge v2.0 dataset combined  ...  In this work, we propose and experiment a 3-D face recognition approach capable of performing accurate face matching also in the case where just parts of probe scans are available.  ...  Results on partial face matching removing quadrants of FRGC v2.0 probes and using face crops around the nose tip are reported in [15] .  ... 
doi:10.1109/tifs.2012.2235833 fatcat:ichiikr3oratbmv5btvtediqvm

Shared Feature Extraction for Nearest Neighbor Face Recognition

D. Masip, J. Vitria
2008 IEEE Transactions on Neural Networks  
The performance of the method is illustrated by an application to the face recognition problem.  ...  Index Terms-Face recognition, feature extraction, multitask learning (MTL), nearest neighbor classification (NN), small sample size problem.  ...  A typical example are the multitask support vector machines (M-SVM) [50] , [51] . • A structural approach, where the representation of the data is supposed to share a common generative process that can  ... 
doi:10.1109/tnn.2007.911742 pmid:18390306 fatcat:py7ms2ldkrfw7i76742x352use

Study of Face Recognition Techniques: A Survey

Madan Lal, Kamlesh Kumar, Rafaqat Hussain, Abdullah Maitlo, Sadaquat Ali, Hidayatullah Shaikh
2018 International Journal of Advanced Computer Science and Applications  
Eigen face, Artificial Neural Networks (ANN), Support Vector Machines (SVM), Principal Component Analysis (PCA), Independent Component Analysis (ICA), Gabor Wavelets, Elastic Bunch Graph Matching, 3D morphable  ...  In this survey paper, we have tried to address most endeavoring face features such as pose invariance, aging, illuminations and partial occlusion.  ...  The Support Vector Machine (SVM) classifier is a most widely used technique that is being implemented on a wide range of classification problems.  ... 
doi:10.14569/ijacsa.2018.090606 fatcat:bbrkmfnfirc5ppgj2soudzdaxe

On a taxonomy of facial features

Brendan Klare, Anil K. Jain
2010 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
the identity of an individual from a facial photograph, and (ii) help standardize the framework of commercial face recognition systems.  ...  After nearly a decade of intensive research in face recognition, no standard organization exists for grouping the salient information available in 2D face images into feature categories.  ...  These subspaces were trained using 14,604 face images from 400 subjects (∼ 35 images/subject) from the FRGC 2.0 dataset [4] .  ... 
doi:10.1109/btas.2010.5634533 dblp:conf/btas/KlareJ10 fatcat:xobojfv5ejaw5gfkqjwvpxnpma
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