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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  
In this paper, we focus on the modality of 3D dynamic data for the task of facial expression recognition.  ...  We present a newly created high-resolution 3D dynamic facial expression database, which is made available to the scientific research community.  ...  For example, Yin et al. have investigated the 3D facial expression recognition [35] using 3D surface primitive features based on the 3D static facial expression database [40] . Wang et al.  ... 
doi:10.1109/afgr.2008.4813324 dblp:conf/fgr/YinCSWR08 fatcat:xaw7wydrqvb6febrysoyilwei4

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.  ...  We also created a new dynamic 3D facial expression database for the research community.  ...  However, the way that we applied the real 2D-HMM to address 3D dynamic facial expression recognition is novel. We have extended the work of FER from static 3D range data to 3D videos.  ... 
doi:10.1007/978-3-540-88688-4_5 fatcat:3p73wkmwmbh7fcmpjik6yod6ti

High-resolution comprehensive 3-D dynamic database for facial articulation analysis

Bogdan J. Matuszewski, Wei Quan, Lik-Kwan Shark
2011 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)  
•High resolution 3D dynamic facial scans represent more closely the facial structure related to the "internal" face anatomy rather than only the external appearance, therefore such data promise to have  ...  medium and disgust and sadness with the low recognition rates.  ...  To the best of the authors knowledge this is, to date, the most comprehensive repository of 3D dynamic facial articulations.  ... 
doi:10.1109/iccvw.2011.6130511 dblp:conf/iccvw/MatuszewskiQS11 fatcat:cl6zhzezzzbcze3sfgyvswiza4

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  
In this paper, we investigate the face recognition problem using dynamic 3D face model sequences.  ...  The advantage of using 3D dynamic data for face recognition has been evaluated by comparing our approach to three conventional approaches: 2D video based temporal HMM model, conventional 2Dtexture based  ...  The application to face recognition relies on the quality of the tracked low resolution face model.  ... 
doi:10.1109/cvprw.2008.4563125 dblp:conf/cvpr/SunY08 fatcat:b6xywriuxfeh5lijqq3k7k4tqe

Analyzing trajectories on Grassmann manifold for early emotion detection from depth videos

Taleb Alashkar, Boulbaba Ben Amor, Stefano Berretti, Mohamed Daoudi
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
I n this thesis, we have investigated the problems of identity recognition and emotion detection from facial 3D shapes animations (called 4D faces).  ...  In particular, we have studied the role of facial (shapes) dynamics in revealing the human identity and their exhibited spontaneous emotion.  ...  the performance of 3D dynamic facial analysis on low-522 resolution depth data, Shao et al  ... 
doi:10.1109/fg.2015.7163122 dblp:conf/fgr/AlashkarABD15 fatcat:53lkhk6apzaqndylmu5iphqupe

Brief review of facial expression recognition techniques

Sajid Ali Khan, Sohaib Shabbir, Rabia Akram, Nouman Altaf, M. Owais Ghafoor, Muhammad Shaheen
2017 International Journal of Advanced and Applied Sciences  
Much work has been done on the static analysis where facial expression recognition had been performed on still images.  ...  While facial expressions are naturally dynamic, they are not easy to detect so the focus of the study is now shifted to find new methods which would be helpful to improve accuracy, lower computational  ...  Expression recognition on low resolution images in real time is difficult.  ... 
doi:10.21833/ijaas.2017.04.005 fatcat:mqjeylfbpranbmtvr2wdhps35a

Facial Expression Recognition in the Presence of Head Motion [chapter]

Fadi Dornaika, Franck Davoine
2008 Affective Computing  
Low resolution video sequences In order to assess the behavior of our developed approach when the resolution and/or the quality of the videos is low, we downloaded several lowquality videos used in (Huang  ...  As can be seen, the recognition obtained with our stochastic approach was very good despite the low quality of the videos used. The resolution of these videos is 320×240 pixels.  ...  Since one of the most important means of human communication is facial expression, the first section of this book (Chapters 1 to 7) presents a research on synthesis and recognition of facial expressions  ... 
doi:10.5772/6188 fatcat:wu6lzp7wyfegvd6fp2e6jh3aoq

Facial expression recognition using encoded dynamic features

Peng Yang, Qingshan Liu, Xinyi Cui, Dimitris N. Metaxas
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
In this paper, we propose a novel framework for videobased facial expression recognition, which can handle the data with various time resolution including a single frame.  ...  Compared to previous work, the dynamic binary patterns encode the intrinsic dynamics of expression, and our method makes no assumption on the time resolution of the data.  ...  However, video based methods analyze the dynamics of facial expression to do recognition.  ... 
doi:10.1109/cvpr.2008.4587717 dblp:conf/cvpr/YangLCM08 fatcat:aueqn2p3pzbabfdnnqzqkkvyvy

Video-Based Face Recognition: State of the Art [chapter]

Zhaoxiang Zhang, Chao Wang, Yunhong Wang
2011 Lecture Notes in Computer Science  
Compared to traditional face analysis, video based face recognition has advantages of more abundant information to improve accuracy and robustness, but also suffers from large scale variations, low quality  ...  Face recognition in videos is a hot topic in computer vision and biometrics over many years.  ...  [23] made use of low resolution subspace of high resolution image sets to deal with problem of different resolutions of input videos and databases.  ... 
doi:10.1007/978-3-642-25449-9_1 fatcat:c2z4v4arlzeelhw67ogg7jocwq

Facial expression recognition using tracked facial actions: Classifier performance analysis

Fadi Dornaika, Abdelmalik Moujahid, Bogdan Raducanu
2013 Engineering applications of artificial intelligence  
In this paper, we address the analysis and recognition of facial expressions in continuous videos.  ...  These are provided by an appearance-based 3D face tracker that simultaneously provides the 3D head pose and facial actions. The use of such tracker makes the recognition pose-and textureindependent.  ...  The majority of the proposed dynamic facial expression techniques assume high resolution frontal facial images.  ... 
doi:10.1016/j.engappai.2012.09.002 fatcat:7hrsjw37u5dzddmlmzpabvufmu

Similarity Features for Facial Event Analysis [chapter]

Peng Yang, Qingshan Liu, Dimitris Metaxas
2008 Lecture Notes in Computer Science  
Each facial event will give rise to complex facial appearance variation. In this paper, we propose similarity features to describe the facial appearance for video-based facial event analysis.  ...  Based on the Gaussian models, we further map the similarity features into dynamic binary patterns to handle the issue of time resolution, which embed the time-warping operation implicitly.  ...  Experiments Our experiments are conducted on the well-known Cohn-Kanade facial expression database [30] , which is widely used to evaluate the facial expression recognition algorithms.  ... 
doi:10.1007/978-3-540-88682-2_52 fatcat:4l7lxzhznrcy3j22atqived2c4

A Novel to Identify Multiple faces by tracking 2D Face Images over 3D Plane

Dayanand G Savakar, Ravi Hosur
2019 JOIV: International Journal on Informatics Visualization  
Therefore the work propose a novel facial expression recognition in real-time by tracking 2D face over a 3D plane.  ...  We use Cambridge landmark markers [4, 5] for facial tracking with multiple Homomorphic projection [5] for creating the 3D feature points.  ...  In this paper [1] , a novel method for detecting and tracking facial landmark features on 3D static and 3D dynamic range data.  ... 
doi:10.30630/joiv.3.2.237 doaj:e137eca72fb840a6999244d5a4986d3b fatcat:4mv7zjd6gzaknduhhupppmjqka

Representation, Analysis, and Recognition of 3D Humans

Stefano Berretti, Mohamed Daoudi, Pavan Turaga, Anup Basu
2018 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Such 3D scanners can be either static or dynamic (i.e., across time), with resulting scans obtained at high-or low-resolution.  ...  Several surveys exist on 3D methods, but they are more focused on individual tasks, such as 3D face recognition [121, 152] , 3D emotion and expression recognition [42, 139] , 3D action recognition [95]  ...  Then, we will focus on the use of 3D data for face and facial expression recognition (Section 3.1.3 and 3.1.4, respectively). 3D FACE DYNAMIC (LOW RESOLUTION) STATIC (HIGH RESOLUTION) Denoising /  ... 
doi:10.1145/3182179 fatcat:ds55t4md2na2tibtyg4llerf3q

4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications [article]

Shiyang Cheng, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou
2018 arXiv   pre-print
It contains 4D videos of subjects displaying both spontaneous and posed facial behaviours. The database can be used for both face and facial expression recognition, as well as behavioural biometrics.  ...  To this end, we propose 4DFAB, a new large scale database of dynamic high-resolution 3D faces (over 1,800,000 3D meshes). 4DFAB contains recordings of 180 subjects captured in four different sessions spanning  ...  There are also some low resolution databases captured using the Kinect sensor [31, 6] designed for capturing 3D dynamic spontaneous behaviours.  ... 
arXiv:1712.01443v2 fatcat:aamemjgc2bbtxmibju4sk6nqky

A Grassmannian Framework for Face Recognition of 3D Dynamic Sequences with Challenging Conditions [chapter]

Taleb Alashkar, Boulbaba Ben Amor, Mohamed Daoudi, Stefano Berretti
2015 Lecture Notes in Computer Science  
In the previous experiment, only one instance out of the probe session is used for recognition. Due to noise and low resolution of the 3D videos this can be not effective.  ...  , like pose variation, facial expressions, talking, internal and external occlusions, which are not considered in current 3D dynamic databases; (2) The collected scans have low resolution, which is more  ... 
doi:10.1007/978-3-319-16220-1_23 fatcat:3sdavvp5y5fsva23hwq5hju4wu
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