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A high-resolution 3D dynamic facial expression database

Lijun Yin, Xiaochen Chen, Yi Sun, Tony Worm, Michael Reale
2008 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition  
With the advancement of 3D imaging technologies, 3D dynamic facial sequences (called 4D data) have been used for face information analysis.  ...  In this paper, we focus on the modality of 3D dynamic data for the task of facial expression recognition.  ...  Acknowledgement This material is based upon the work supported in part by the National Science Foundation under grants IIS-0541044, IIS-0414029, and the NYSTAR's James D. Watson Investigator Program.  ... 
doi:10.1109/afgr.2008.4813324 dblp:conf/fgr/YinCSWR08 fatcat:xaw7wydrqvb6febrysoyilwei4

Static and dynamic 3D facial expression recognition: A comprehensive survey

Georgia Sandbach, Stefanos Zafeiriou, Maja Pantic, Lijun Yin
2012 Image and Vision Computing  
In order to deal with these problems, 3D and 4D (dynamic 3D) recordings are increasingly used in expression analysis research.  ...  Finally, challenges that have to be addressed if 3D facial expression recognition systems are to become a part of future applications are extensively discussed.  ...  A wide range of classification techniques have been employed in 3D facial expression recognition systems.  ... 
doi:10.1016/j.imavis.2012.06.005 fatcat:oqijx33myrbmzcbbywrysbezie

3D Spatio-Temporal face recognition using dynamic range model sequences

Yi Sun, Lijun Yin
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
Research on 3D face recognition has been intensified in recent years. However, most research has focused on the 3D static data analysis.  ...  In this paper, we investigate the face recognition problem using dynamic 3D face model sequences.  ...  The data was captured using Dimensional Imaging's 3D dynamic capturing system [10] . The system captures a sequence of stereo images of a dynamically changing facial surface.  ... 
doi:10.1109/cvprw.2008.4563125 dblp:conf/cvpr/SunY08 fatcat:b6xywriuxfeh5lijqq3k7k4tqe

An Integrative Approach to Face and Expression Recognition from 3D Scans [chapter]

Chao Li
2010 Face Recognition  
In this respect this paper fills the gap by proposing a facial expression recognition system that uses three dimensional images or range images. 3D range images have the advantage of invariance with respect  ...  An example of the resulting 3D range image is shown in 3D expression recognition Facial expression of the face is a basic mode of nonverbal communication among people.  ...  Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination  ... 
doi:10.5772/8954 fatcat:lbitikumubbyhcijlzqmzvj2zq

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

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  ...  Introduction Face recognition has been a hot research area for its wide range of applications [1] .  ...  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

Optimal Linear Combination of Facial Regions for Improving Identification Performance

Kin-Chung Wong, Wei-Yang Lin, Yu Hen Hu, Nigel Boston, Xueqin Zhang
2007 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
Experiments on the FRGC (Face Recognition Grand Challenge) V2.0 dataset show that this new algorithm improves the recognition performance significantly in the presence of facial expressions.  ...  A summation invariant, which captures local characteristics of a facial surface, is extracted from multiple sub-regions of a 3D range image as the discriminative features.  ...  face recognition system, consists of following stages: 1) Use only the shape information in a 3D image: The 3D images provided by current 3D sensors usually contain two channels, namely texture and shape  ... 
doi:10.1109/tsmcb.2007.895325 pmid:17926697 fatcat:5enqpyakv5dcxbge5xtnoljnaa

Facial Expression Recognition Based on 3D Dynamic Range Model Sequences [chapter]

Yi Sun, Lijun Yin
2008 Lecture Notes in Computer Science  
Traditionally, facial expression recognition (FER) issues have been studied mostly based on modalities of 2D images, 2D videos, and 3D static models.  ...  In this paper, we propose a spatio-temporal expression analysis approach based on a new modality, 3D dynamic geometric facial model sequences, to tackle the FER problems.  ...  Acknowledgement This material is based upon the work supported in part by the National Science Foundation under grants IIS-0541044, IIS-0414029, and the NYSTAR's James D. Watson Investigator Program.  ... 
doi:10.1007/978-3-540-88688-4_5 fatcat:3p73wkmwmbh7fcmpjik6yod6ti

Three-dimensional facial surface modeling applied to recognition

A.B. Moreno, A. Sánchez, E. Frías-Martínez, J.F. Vélez
2009 Engineering applications of artificial intelligence  
One key element for any 3D face recognition system is the modeling of the available scanned data.  ...  Also, two types of environments were tested in order to check the robustness of the proposed models: a controlled environment with respect to facial conditions (i.e. expressions, face rotations, etc) and  ...  Some applications of the use of a generic 3D head model are: analysis and synthesis of facial expressions (Lei et al., 1996) , analysis of robustness to illumination or pose correction in an AFR systems  ... 
doi:10.1016/j.engappai.2009.05.003 fatcat:stqmeff7crai3lentcbe5stcci

3D Face Recognition: Technology and Applications [chapter]

Berk Gökberk, Albert Ali Salah, Neşe Alyüz, Lale Akarun
2009 Advances in Pattern Recognition  
In [81] and [82] statistical feature models are used to detect each facial feature independently on 3D range images.  ...  Once the face acquisition and analysis tools are in place, this system can also be employed for opportunistic purposes, for instance to determine drowsiness of the driver by facial expression analysis.  ... 
doi:10.1007/978-1-84882-385-3_9 fatcat:is4cpqk32bdf7ffonocls2vjsm

Integrating Range and Texture Information for 3D Face Recognition

Xiaoguang Lu, A.K. Jain
2005 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1  
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance.  ...  The 3D model in the gallery is used to synthesize new appearance samples with pose and illumination variations that are used for discriminant subspace analysis.  ...  Therefore, we address the scenario that matches a 2.5D facial scan to 3D models. Face recognition based on range images has been addressed in a number of different ways.  ... 
doi:10.1109/acvmot.2005.64 dblp:conf/wacv/LuJ05a fatcat:xill3sf4q5fdze6klru4r4xpoq

Evaluation of 3d facial paralysis using fuzzy logic

Banita ., Dr Poonam Tanwar
2018 International Journal of Engineering & Technology  
There is a wide research in terms of facial expressions and facial recognition but limited research work is available in facial paralysis.  ...  Imaging plays a great role in evaluation of degree of paralysis and also for faces recognition.  ...  Acknowledgment This work was supported by Pathology and Neurology Department of PFIMS Rohtak, INDIA since 2016.  ... 
doi:10.14419/ijet.v7i4.13619 fatcat:k7sksvybubbebkzr3y3ib5fdje

3D Face Recognition Using Radon Transform and Symbolic LDA

P. S.Hiremath, Manjunath Hiremath
2013 International Journal of Computer Applications  
In this paper, the novel method for three dimensional (3D) face recognition using Radon transform and Symbolic LDA based features of 3D range face images is proposed.  ...  Research interest in 3D face recognition has increased during recent years due to the availability of improved 3D acquisition devices and processing algorithms.  ...  In the testing phase, randomly chosen 200 face images of the Texas 3D face database with variations in facial expressions are used.  ... 
doi:10.5120/11380-6666 fatcat:lr5edkdxdzhovoefaixzjdqsou

Enhancing the feature-based 3D deformable face recognition using hybrid PCA-NN

Cahyo Darujati, Supeno Mardi Susiki Nugroho, Deny Kurniawan, Mochamad Hariadi
2021 Indonesian Journal of Electrical Engineering and Computer Science  
<p>Facial recognition is one of the most important advancements in image processing. An important job is to build an automated framework with the same human capacity's for recognizing face.  ...  The proposed technique is a combination of the PCA system and the identification of components using the neural network (NN) feed-forward propagation method.  ...  ACKNOWLEDGEMENTS We would like to thank the Ministry of Research and Technology, Republic of Indonesia/BRIN for funding this research the under BPPDN grant schema.  ... 
doi:10.11591/ijeecs.v22.i1.pp215-221 fatcat:treupgxjc5cynd3zhnrpmojbv4

Linear Discriminant Analysis for 3D Face Recognition Using Radon Transform [chapter]

P. S. Hiremath, Manjunath Hiremath
2013 Lecture Notes in Electrical Engineering  
In this paper, we have proposed a novel method for three dimensional (3D) face recognition using Radon transform and Symbolic LDA based features of 3D face images.  ...  Research interest in 3D face recognition has increased during recent years due to the availability of improved 3D acquisition devices and processing algorithms.  ...  In the testing phase, randomly chosen 200 face images of the Texas 3D face database with variations in facial expressions are used.  ... 
doi:10.1007/978-81-322-1143-3_9 fatcat:4jewtvolingr3fsrdg7wiyu4b4
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