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Combining Statistics of Geometrical and Correlative Features for 3D Face Recognition
2006
Procedings of the British Machine Vision Conference 2006
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The proposed method is based on both global statistics of geometrical features and local statistics of correlative features of facial surfaces. ...
Finally, the two kinds of features are supposed to be complementary to some extent, and the combination of them is proven to be able to improve the recognition performance. ...
Global statistical analysis of geometrical features This experiment aims to evaluate the performance of using global statistics of geometrical features (GSGF) for 3D face recognition. ...
doi:10.5244/c.20.90
dblp:conf/bmvc/HuangWT06
fatcat:irfwdn6uoncdtfrle7mnxit5fq
Cross-pose Face Recognition by Canonical Correlation Analysis
[article]
2015
arXiv
pre-print
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The pose problem is one of the bottlenecks in automatic face recognition. ...
In our method, based on the data set with coupled face images of the same identities and across two different poses, CCA learns simultaneously two linear transforms, each for one pose. ...
It was supported in part by the Natural Science Foundation of China under Contract 61173065, 61025010, 61222211, and 61003103; and the Beijing Natural Science Foundation (New Technologies and Methods in ...
arXiv:1507.08076v1
fatcat:airjyjndxvgtvlrol7i4hg2kwa
Spotting the Details: The Various Facets of Facial Expressions
2018
2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
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Abstract-3D Morphable Models (MM) are a popular tool for analysis and synthesis of facial expressions. ...
This expression code can be used, for instance, as a feature in automatic facial expression recognition. ...
ACKNOWLEDGEMENTS We kindly thank Sophie Buchner and Alexander Tack for their valuable support and discussions during preparation of this paper. ...
doi:10.1109/fg.2018.00049
dblp:conf/fgr/GreweRPZ18
fatcat:vj3yxyn2azg25gxydekwxsf2yu
Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features
2007
2007 IEEE Conference on Computer Vision and Pattern Recognition
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The features include 2D and 3D geometric features, and the moment invariants combining both 3D geometry and 2D textures. ...
Facial expression recognition experiments on actors demonstrate that our combined features can better characterize facial expressions than either 2D geometric or texture features. ...
Acknowledge We would like to acknowledge support from NIH grants 1R01MH73174-01 (for method development) and R01-MH060722 (for data acquisition). ...
doi:10.1109/cvpr.2007.383061
dblp:conf/cvpr/WangKBGGV07
fatcat:qtpkneynjranjknrw23dbswat4
Face Recognition in the Presence of Expressions
2012
Journal of Software Engineering and Applications
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To investigate how the use of distances can help the recognition process, a feature set of diagonal distance patterns, were determined and extracted to distinguish face models. ...
The results of the study have indicated that our proposed analysis methods of facial expressions, was capable of undertaking face recognition using a minimum set of features improving efficiency and computation ...
combination with the texture (2D intensity image) is used for the purpose of recognition. ...
doi:10.4236/jsea.2012.55038
fatcat:q54iem6v4bawrehwgh6mz4sqw4
Face Verification for Access Control
[chapter]
2002
Biometric Solutions
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In this chapter, we discuss the research issues and state-of-the-art of face verification for access control. ...
We start by analyzing a typical face verification system for access control, and then explore the dominant technologies in the field. ...
Systems using geometric features for face recognition can be found in [8, 14, 9, 10, 12, 50] . ...
doi:10.1007/978-1-4615-1053-6_13
fatcat:t4lye7kgtvbildz6i7hx4n6b74
Learning structurally discriminant features in 3D faces
2008
2008 15th IEEE International Conference on Image Processing
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The feature-subsets that we infer as the output establishes domain knowledge for the challenging problem of 3D face recognition with dense 3D gallery models and sparse or low resolution probes. ...
Index Terms-3D face recognition, feature learning, dimensionality reduction, informative-discrimant face features. ...
The alternative pattern recognition approach to 3D face recognition using geometric feature measurements would have been to use ideas like PCA [9] or LDA [8] on face features and search for the nearest ...
doi:10.1109/icip.2008.4712154
dblp:conf/icip/SukumarBPKA08
fatcat:jraejddabrcpvnt424lq2vfgui
A unified probabilistic framework for automatic 3D facial expression analysis based on a Bayesian belief inference and statistical feature models
2013
Image and Vision Computing
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The proposed BBN performs Bayesian inference based on Statistical Feature Models (SFM) and Gibbs-Boltzmann distribution and feature a hybrid approach in fusing both geometric and appearance features along ...
When using manually labeled landmarks, the proposed framework achieved an average recognition rate of 94.2% and 85.6% for the 7 and 16 AU on face data from the Bosphorus dataset respectively, and 89.2% ...
3D Face Analyzer project under the grant ANR 2010 INTB 0301 01. ...
doi:10.1016/j.imavis.2012.10.001
fatcat:j4kcualxa5e4vep2wderfsiiqq
Modeling Stylized Character Expressions via Deep Learning
[chapter]
2017
Lecture Notes in Computer Science
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We also show that the ranking order predicted by the proposed features is highly correlated with the ranking order provided by a facial expression expert and Mechanical Turk experiments. ...
We first train two Convolutional Neural Networks to recognize the expression of humans and stylized characters independently. ...
), and Bonnie (Josh Sobel Rigs). ...
doi:10.1007/978-3-319-54184-6_9
fatcat:skwhiteavjhqdgq34kpgh4baaa
Applying fusion in thermal face recognition
2012
Biometrics and Electronic Signatures
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This paper investigates combinations of manymethods, used for thermal face recognition, and introduces some new and modified algorithms, which have not been used in the area as of yet. ...
Recently,there has been an increased interest in face recognition in the thermal infra-red spectrum, because it solves some problems of the visible spectrum recognition. ...
Therefore, to maximize the performance of the thermal face recognition, amultialgorithmic fusion must be applied.
5A cknowledgment This work waspartially supported by the following grants: NATO CBP.EAP.CLG ...
dblp:conf/biosig/VanaMDPY12
fatcat:h6wm4xakurc6ro6ngam6b7xfz4
Adaptive Analysis of Different Methodologies for 2D and 3D Face Recognition Framework
2016
International Journal of Engineering Research and
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We are trying to improve efficiency and recognition rate also proposed an algorithm for recognizing 3D face images which exploits the feature of principal component analysis and eigenfaces. ...
We are trying to give an idea of the state of the art for 3D face recognition technology. We are trying to improve efficiency and recognition rate. ...
G.V.Ramaraju Lingaya's university Faridabad, and faculty members of school of computer science for valuable guidance and support for writing this paper. ...
doi:10.17577/ijertv5is100377
fatcat:gspxh3hpzbfovnnvvdrwerrlty
Multi-Camera Face Recognition by Reliability-Based Selection
2006
2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety
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A reliability measure is trained using the features extracted from both face detection and recognition processes, to evaluate the inherent quality of channel recognition. ...
In each channel, real-time component-based face detection detects the face with moderate pose and illumination changes with fusion of individual component detectors for eyes and mouth, and the normalized ...
TABLE I COMMON I COMBINING RULES FOR MULTIPLE CLASSIFIERS USING DISTANCES Method
Rule
Minimal geometric mean ω k
TABLE II BREAKDOWN II OF FUSED FACE RECOGNITION. comparison of selection and common ...
doi:10.1109/cihsps.2006.313294
fatcat:rt5swqwdtbg2hird4qxxaqpbem
A 3D Face Recognition Algorithm Using Histogram-based Features
[article]
2008
Eurographics Workshop on 3D Object Retrieval, EG 3DOR
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The actual region of the face to be analyzed is determined using a simple statistical method. ...
Subsequently, the face is realigned in a coordinate system derived from the nose tip and the symmetry axis, resulting in a normalized 3D model. ...
ACKNOWLEDGMENTS The work presented in this paper was supported in part by the European Commission under Contract 3D FACE [EU06], a European Integrated Project funded under the European Commission IST FP6 ...
doi:10.2312/3dor/3dor08/065-071
fatcat:6p437ytjcrgzplohhltzkqwrr4
Maximizing intra-individual correlations for face recognition across pose differences
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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In the first, we transform non-frontal face into frontal for recognition. And in the second, we perform recognition in the media subspace with probabilistic modeling. ...
The variations of pose lead to significant performance decline in face recognition systems, which is a bottleneck in face recognition. ...
Of these, pose change is one of the most important and difficult issues for face recognition. ...
doi:10.1109/cvpr.2009.5206659
dblp:conf/cvpr/LiSCG09
fatcat:5lbofscpvbh3dolhhp43yr5ro4
Face Recognition Techniques: A Survey
2013
World Journal of Computer Application and Technology
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Face is the index of mind. It is a complex multidimensional structure and needs a good computing technique for recognition. ...
While using automatic system for face recognition, computers are easily confused by changes in illumination, variation in poses and change in angles of faces. ...
Hence, their face descriptor contains quite enough 3D information of a person's face to help for recognition and eventually for search, retrieval, and browsing of photographs, videos, and 3D-facial model ...
doi:10.13189/wjcat.2013.010204
fatcat:zv5jrbcmazexnigyzim5smajpa
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