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Regional Registration for Expression Resistant 3-D Face Recognition

Neşe Alyuz, Berk Gokberk, Lale Akarun
2010 IEEE Transactions on Information Forensics and Security  
In this paper, we propose a fully automatic expression insensitive 3-D face recognition system. Surface deformations due to facial expressions are a major problem in 3-D face recognition.  ...  We demonstrate the recognition ability of our system using the multiexpression Bosphorus and the most commonly used 3-D face database, Face Recognition Grand Challenge (FRGCv2).  ...  Databases The main purpose of this work is to develop a 3-D face recognition system that is resistant to expression variations.  ... 
doi:10.1109/tifs.2010.2054081 fatcat:dll45jvugfgaflyjzkbwyxq6rq

Combining 3D and 2D for less constrained periocular recognition

Lulu Chen, James Ferryman
2015 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
This approach was evaluated using the Bosphorus 3D face database, which contains large variations in facial expressions, head poses and occlusions.  ...  Periocular recognition has recently become an active topic in biometrics. Typically it uses 2D image data of the periocular region.  ...  Also, the 3D shape provides more discriminative features for person recognition. A common approach for 3D face recognition is to perform rigid face registration on the 3D point cloud.  ... 
doi:10.1109/btas.2015.7358753 dblp:conf/btas/ChenF15 fatcat:yi6maojdgbfnrjznjzk6gbz6im

COMPACT: Biometric Dataset of Face Images Acquired in Uncontrolled Indoor Environment

Michal Wlodarczyk, Damian Kacperski, Wojciech Sankowski, Kamil Grabowski
2019 Computer Science  
Therefore, the COMPACT database for studying less-cooperative face recognition is introduced in this paper.  ...  Additionally, the authors conducted a series of experiments that verified the face-recognition performance on the collected data.  ...  for Positive AuthentiCaTion" (COMPACT)  ... 
doi:10.7494/csci.2019.20.1.3020 fatcat:atu2bwlctjesrhyskif2jm5xby

A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition [chapter]

Albert Cruz, Bir Bhanu, Songfan Yang
2011 Lecture Notes in Computer Science  
Communication between humans is rich in complexity and is not limited to verbal signals; emotions are conveyed with gesture, pose and facial expression.  ...  The challenge for computer vision is how to automatically and non-heuristically downsample the data while maintaining a minimum representational power that does not sacrifice accuracy.  ...  Support for this work was provided by NSF IGERT: Video Bioinformatics Grant DGE 0903667. The authors would like to thank the organizers of AVEC 2011 for conducting the challenge.  ... 
doi:10.1007/978-3-642-24571-8_45 fatcat:ajmlsxnrmndppmzbuwv6v3fpvy

4-D Facial Expression Recognition by Learning Geometric Deformations

Boulbaba Ben Amor, Hassen Drira, Stefano Berretti, Mohamed Daoudi, Anuj Srivastava
2014 IEEE Transactions on Cybernetics  
In this paper, we present an automatic approach for facial expression recognition from 3D video sequences.  ...  Both of the proposed classification schemes on the scalar fields showed comparable results and outperformed earlier studies on facial expression recognition from 3D video sequences.  ...  As it can be observed, for different expressions, the high deformations are located in different regions of the face.  ... 
doi:10.1109/tcyb.2014.2308091 pmid:25415949 fatcat:ww6d5sshmbgqboswj2wdmkae6e

Multiscale Integral Invariants For Facial Landmark Detection in 2.5D Data

Adam Slater, Yu Hen Hu, Nigel Boston
2007 2007 IEEE 9th Workshop on Multimedia Signal Processing  
Using the Face Recognition Grand Challenge 2.0 dataset, our method compares favorably with a recently proposed competing method. *  ...  We apply this new feature to detect the nose tips of 2.5D range images of human faces.  ...  These approaches either use the curvature to segment the face into regions for recognition or attempt to use local curvature to locate feature points for registration.  ... 
doi:10.1109/mmsp.2007.4412846 dblp:conf/mmsp/SlaterHB07 fatcat:pvtxmgzipnagfffmouyvrxeyvq

Expression-robust 3D face recognition via weighted sparse representation of multi-scale and multi-component local normal patterns

Huibin Li, Di Huang, Jean-Marie Morvan, Liming Chen, Yunhong Wang
2014 Neurocomputing  
Moreover, to resist the facial expression variations, we propose to learn the weight of each local patch under a given encoding scale and normal component.  ...  To fully exploit this kind of information for 3D face identification, this paper proposes a novel highly discriminative facial shape descriptor, namely Multi-Scale and Multi-Component Local Normal Patterns  ...  To pursue expression-robust 3D face recognition, some works proposed to choose rigid facial regions such as the nose and forehead regions [8, 17] since they are expected to remain stable in occurrence  ... 
doi:10.1016/j.neucom.2013.11.018 fatcat:2cxrxqkddbhj3g2yvjnosrg2iy

Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition

G. Passalis, P. Perakis, T. Theoharis, I. A. Kakadiaris
2011 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In these databases the average rank-one recognition rate of the proposed method was 83.7 %. Index Terms-O.8.13 Biometrics, I.5.4.d Face and gesture recognition, I.3.5.i Physically based modeling.  ...  It is suitable for real-world applications as it only requires half of the face to be visible to the sensor.  ...  regions of another subject's face.  ... 
doi:10.1109/tpami.2011.49 pmid:21383396 fatcat:ms6z5yyn4rampflyqitdnut2py

3D Face Apperance Model

B. Lading, R. Larsen, K. Astrom
2006 Proceedings of the 7th Nordic Signal Processing Symposium - NORSIG 2006  
build a 3dface shape model, including inter-and intrashape variations, derive the analyticaljacobian ofits resulting 2d rendered image, and show example of its fitting performance with light, pose, id, expression  ...  A resistant mean registration for all surface points is calculated.  ...  Face models could be useful for expression and emotion recognition, facial conversation agents, animation in film and gaming industry, compressed data transfer for video conferencing, and for identification  ... 
doi:10.1109/norsig.2006.275249 fatcat:w42bjue5ibbxfegpceqb2vviyq

Dense and Sparse 3D Deformation Signatures for 3D Dynamic Face Recognition

Abd El Rahman Shabayek, Djamila Aouada
2021 IEEE Access  
The signatures are employed in dynamic 3D face recognition, however, they are applicable in other domains. This is demonstrated for dynamic expression recognition.  ...  The pushing need for non-intrusive bio-metric measurements made face and its expressions recognition dominant players in domains like entertainment, surveillance and security.  ...  D. 3D FACE EXPRESSIONS RECOGNITION ON COMA FIGURE 21 . 21 ROC analysis of sparse S3DS (SRR = 300 and 600) on COMA for 3D face Expression recognition.  ... 
doi:10.1109/access.2021.3064179 fatcat:fvup7jgyarhedg25ruo2yll2bu

3D Sparse Deformation Signature for Dynamic Face Recognition

Abd El Rahman Shabayek, Djamila Aouada, Kseniya Cherenkova, Gleb Gusev
2020 2020 IEEE International Conference on Image Processing (ICIP)  
This paper proposes a novel compact and memory efficient Sparse 3D Deformation Signature (S3DS) to represent a sparse 3D deformation signal for 3D Dynamic Face Recognition.  ...  By construction, S3DS is resistant to common security attacks like presentation, template and adversarial attacks.  ...  Common security attacks are naturally resisted by S3DS as it can not be decoded into facial appearance features or used for 3D face reconstruction. indicates a subgroup and GL(3) is the general linear  ... 
doi:10.1109/icip40778.2020.9190656 dblp:conf/icip/ShabayekACG20 fatcat:rq24u76srvdztbrkjg6ruhgzzq

Multilayer Architectures for Facial Action Unit Recognition

Tingfan Wu, N. J. Butko, P. Ruvolo, J. Whitehill, M. S. Bartlett, J. R. Movellan
2012 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
Index Terms-Action unit recognition, facial expression recognition, Gabor energy filters (GEFs), local binary patterns (LBPs).  ...  In expression recognition and many other computer vision applications, the recognition performance is greatly improved by adding a layer of nonlinear texture filters between the raw input pixels and the  ...  Face Detection and Registration We used the CERT face detector and feature detectors [33] for face registration.  ... 
doi:10.1109/tsmcb.2012.2195170 pmid:22588611 fatcat:frpm2sy27bgttibvqiktosnsma

Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

Xiaoyang Tan, Bill Triggs
2010 IEEE Transactions on Image Processing  
Recognition in uncontrolled situations is one of the most important bottlenecks for practical face recognition systems.  ...  regions; and (iii) we show that replacing local histogramming with a local distance transform based similarity metric further improves the performance of LBP/LTP based face recognition.  ...  To counter this we extend LBP to Local Ternary Patterns (LTP), a 3-valued coding that includes a threshold around zero for improved resistance to noise.  ... 
doi:10.1109/tip.2010.2042645 pmid:20172829 fatcat:4z6rtno3wrcibmsrv62gz75dde

Partial matching of interpose 3D facial data for face recognition

P. Perakis, G. Passalis, T. Theoharis, G. Toderici, I.A. Kakadiaris
2009 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems  
Most previous 3D face recognition methods do not handle extensive missing data as they rely on frontal scans. Currently, there is no method to perform recognition across scans of different poses.  ...  Three-dimensional face recognition has lately received much attention due to its robustness in the presence of lighting and pose variations.  ...  face recognition and side scans were used strictly for ear recognition.  ... 
doi:10.1109/btas.2009.5339019 fatcat:76t6iphyzvcjzdssiqvunudzzy

Three-dimensional face recognition under expression variation

Xueqiao Wang, Qiuqi Ruan, Yi Jin, Gaoyun An
2014 EURASIP Journal on Image and Video Processing  
As a result, this framework enhances the recognition rate because facial expression is the biggest obstacle for 3D face recognition.  ...  In this paper, we introduce a fully automatic framework for 3D face recognition under expression variation. For 3D data preprocessing, an improved nose detection method is presented.  ...  [9] proposed an expression resistant 3D face recognition method based on the regional registration. In recent years, many methods dealt with facial expression before recognition. Kakadiaris et al.  ... 
doi:10.1186/1687-5281-2014-51 fatcat:6764evsh5jcxrj2yqjj3bvngsy
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