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Nasal Region-Based 3D Face Recognition under Pose and Expression Variations [chapter]

Hamdi Dibeklioğlu, Berk Gökberk, Lale Akarun
2009 Lecture Notes in Computer Science  
In this work, we propose a fully automatic pose and expression invariant part-based 3D face recognition system. The proposed system is based on pose correction and curvature-based nose segmentation.  ...  Our results show that the utilization of anatomically-cropped nose region increases the recognition accuracy up to 94.10 per cent for frontal facial expressions and 79.41 per cent for pose variations in  ...  A recently proposed approach for expression invariant 3D face recognition is a part-based system [2] .  ... 
doi:10.1007/978-3-642-01793-3_32 fatcat:yfxg55baqrdilkafwh2ygkfa2q

Expression robust 3D face recognition by matching multi-component local shape descriptors on the nasal and adjoining cheek regions

Jiangning Gao, Adrian N. Evans
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
This paper proposes a novel local depth and surface normals descriptor to explore the discriminative features on the nasal surface and the adjoining cheek regions for expression robust 3D face recognition  ...  The adjoining cheek regions demonstrate a high discriminatory power and provide a useful new addition to 3D face biometrics.  ...  ACKNOWLEDGMENT Jiangning Gao gratefully acknowledges her financial support from the China Scholarship Council (CSC) and a University of Bath Graduate School Scholarship.  ... 
doi:10.1109/fg.2015.7163144 dblp:conf/fgr/GaoE15 fatcat:wfnpn3jjp5aqtjg5yz666h4neq

3D face recognition: a survey

Song Zhou, Sheng Xiao
2018 Human-Centric Computing and Information Sciences  
Moreover, 3D face recognition systems could accurately recognize human faces even under dim lights and with variant facial positions and expressions, in such conditions 2D face recognition systems would  ...  The frontier research results are introduced in three categories: pose-invariant recognition, expression-invariant recognition, and occlusion-invariant recognition.  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s13673-018-0157-2 fatcat:xwhabcqu6zgy7bezu5744hgvhq

3D Face Recognition: A Survey [article]

Yaping Jing, Xuequan Lu, Shang Gao
2021 arXiv   pre-print
The advantages and disadvantages of the techniques are summarized in terms of accuracy, complexity and robustness to face variation (expression, pose and occlusions, etc).  ...  The main contribution of this survey is that it comprehensively covers both conventional methods and deep learning methods on 3D face recognition.  ...  [112] also proposed a 3D face recognition method with pose-invariant and a coarse-to-fine approach to detect landmarks under large yaw variations.  ... 
arXiv:2108.11082v1 fatcat:drpuqdt6ore5dje4hiamsmi43i

Nasal Region Contribution in 3D Face Biometrics Using Shape Analysis Framework [chapter]

Hassen Drira, Boulbaba Ben Amor, Mohamed Daoudi, Anuj Srivastava
2009 Lecture Notes in Computer Science  
The main goal of this paper is to illustrate a geometric analysis of 3D facial shapes in presence of varying facial expressions using the nose region.  ...  This, in turn, is based on optimal deformations of the corresponding nasal curves across surfaces under an elastic metric.  ...  Acknowledgements This research is supported in part by the ANR under the project ANR-07-SESU-004 and the Contrat de Projet Etat-Rgion (CPER) Rgion Nord-Pas-De calais Ambient Intelligence and partially  ... 
doi:10.1007/978-3-642-01793-3_37 fatcat:4pde5xc2v5dw5cndlmy7l22fyq

Partial Face Biometry Using Shape Decomposition on 2D Conformal Maps of Faces

Przemyslaw Szeptycki, Mohsen Ardabilian, Liming Chen, Wei Zeng, David Gu, Dimitris Samaras
2010 2010 20th International Conference on Pattern Recognition  
In this paper, we introduce a new approach for partial 3D face recognition, which makes use of shape decomposition over the rigid 1 part of a face.  ...  Recognition tests on a subset of the FRGC data set show approximately 80% rank-one recognition rate using only the eyes and nose part of the face.  ...  During recent years 3D face models has been used as a potential solution to deal with the two unsolved problems in 2D face recognition, namely variations in lighting conditions and pose [2] , thereby  ... 
doi:10.1109/icpr.2010.372 dblp:conf/icpr/SzeptyckiACZGS10 fatcat:yywu2mhdznby7fgdurjf544o2a

International Conference on Pattern Recognition

1971 Computer  
In this paper, we introduce a new approach for partial 3D face recognition, which makes use of shape decomposition over the rigid 1 part of a face.  ...  Recognition tests on a subset of the FRGC data set show approximately 80% rank-one recognition rate using only the eyes and nose part of the face.  ...  During recent years 3D face models has been used as a potential solution to deal with the two unsolved problems in 2D face recognition, namely variations in lighting conditions and pose [2] , thereby  ... 
doi:10.1109/c-m.1971.216793 fatcat:ghskjx6ylbhkflhg4meuskb3cy

3D Face Recognition Founded on the Structural Diversity of Human Faces

Shalini Gupta, J. K. Aggarwal, Mia K. Markey, Alan C. Bovik
2007 2007 IEEE Conference on Computer Vision and Pattern Recognition  
This demonstrates that incorporating domain specific knowledge about the structural diversity of human faces significantly improves the performance of 3D human face recognition algorithms.  ...  We also present three dimensional (3D) face recognition algorithms, which employ Euclidean/geodesic distances between these anthropometric fiducial points as features along with linear discriminant analysis  ...  Acknowledgments We would like to gratefully acknowledge Advanced Digital Imaging Research, LLC, Friendswood, TX for providing 3D facial data and financial support for this project.  ... 
doi:10.1109/cvpr.2007.383053 dblp:conf/cvpr/GuptaAMB07 fatcat:m4sr3ktw75cmdni7vqjkad5hr4

Which 3D geometric facial features give up your identity?

Lahoucine Ballihi, Anuj Srivastava, Boulbaba Ben Amor, Mohamed Daoudi, Driss Aboutajdine
2012 2012 5th IAPR International Conference on Biometrics (ICB)  
This, in turn, facilitates handling of pose variations (probe image may correspond to a part of the face) or missing data (probe image is altered by occlusions.  ...  The 3D face recognition literature has many papers that represent facial shapes as collections of curves of different kinds (level-curves, iso-level curves, radial curves, profiles, geodesic polarization  ...  Acknowledgements This research is supported in part by the ANR under the projects ANR FAR 3D ANR-07-SESU-004 and 3D Face Analyzer ANR 2010 INTB 0301 02.  ... 
doi:10.1109/icb.2012.6199768 dblp:conf/icb/BallihiSADA12 fatcat:ws3twon6sbcajga6p6jazh2kja

Unconstrained Face Recognition from a Single Image [chapter]

Shaohua Kevin Zhou, Rama Chellappa, Narayanan Ramanathan
2009 The Essential Guide to Image Processing  
recognition under illumination and pose variations.  ...  ILLUMINATING LIGHT FIELD: FACE RECOGNITION UNDER ILLUMINATION AND POSE VARIATIONS A.  ... 
doi:10.1016/b978-0-12-374457-9.00024-x fatcat:ce4aq57r4bhrbd6quanyhdwmhm

Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors

Huibin Li, Di Huang, Jean-Marie Morvan, Yunhong Wang, Liming Chen
2014 International Journal of Computer Vision  
Registration algorithms performed on point clouds or range images of face scans have been successfully used for automatic 3D face recognition under expression variations, but have rarely been investigated  ...  to solve pose changes and occlusions mainly since that the basic landmarks to initialize coarse alignment are not always available.  ...  All these results consistently demonstrate that the proposed approach is very robust for 3D face recognition under expression changes, occlusions, and pose variations.  ... 
doi:10.1007/s11263-014-0785-6 fatcat:3dd24ybd5fdivgxgi7yhl64oki

3D‐Facial Expression Synthesis and its Application to Face Recognition Systems

Leonel Ramí­rez-Valdez, Rogelio Hasimoto-Beltran
2009 Journal of Applied Research and Technology  
Moreover, the inclusion of our expression synthesis approach in a simple 3D‐FRS based on Fisherfaces increased significantly the recognition rate without requiring complex 3Dface recognition chemes.  ...  In this work, we propose a new 3Dface expression synthesis approach for expression independent face recognition systems (FRS).  ...  [23] performed a 3D face recognition using segmentation based on Gaussian curvature to create a feature vector of the segmented regions. Using different expressions and poses Moreno, et. al.  ... 
doi:10.22201/icat.16656423.2009.7.03.491 fatcat:gb3y4v75njajjh4tux3b5mxxbe

Automatic 3D Facial Region Retrieval from Multi-pose Facial Datasets [article]

Panagiotis Perakis, Theoharis Theoharis, Georgios Passalis, Ioannis A. Kakadiaris
2009 Eurographics Workshop on 3D Object Retrieval, EG 3DOR  
These applications often require the retrieval of specific facial areas (such as the nasal region).  ...  The most crucial step in facial region retrieval is the detection of key 3D facial landmarks (e.g., the nose tip). A key advantage of 3D facial data over 2D facial data is their pose invariance.  ...  under significant pose variations.  ... 
doi:10.2312/3dor/3dor09/037-044 fatcat:pfapshdrdjdk5ervxlf4w233ri

Anthropometric 3D Face Recognition

Shalini Gupta, Mia K. Markey, Alan C. Bovik
2010 International Journal of Computer Vision  
We present a novel anthropometric three dimensional (Anthroface 3D) face recognition algorithm, which is based on a systematically selected set of discriminatory structural characteristics of the human  ...  We further show that the proposed Anthroface 3D recognition algorithm performs well (equal error rate of 1.98% and a rank 1 recognition rate of 96.8%), out performs three of the existing benchmark 3D face  ...  (Chatsworh CA) for providing 2D+3D facial data, and technical and financial support for this project.  ... 
doi:10.1007/s11263-010-0360-8 fatcat:uuwbb4avfvbwngyzn3oscursyi

3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model

P. Nair, A. Cavallaro
2009 IEEE transactions on multimedia  
This model is based on a 3D Point Distribution Model (PDM) that is fitted without relying on texture, pose or orientation information.  ...  We also demonstrate face detection and segmentation on objects with different scale and pose.  ...  Lijun Yin, Department of Computer Science, The State University of New York at Binghamton, and The Research Foundation of State University of New York, for providing the BU-3DFE database.  ... 
doi:10.1109/tmm.2009.2017629 fatcat:obp5umfyk5dzpb37xpwtblvu34
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