Filters








1,330 Hits in 3.1 sec

Bilinear factorisation for facial expression analysis and synthesis

B. Abboud, F. Davoine
2005 IEE Proceedings - Vision Image and Signal Processing  
Although active appearance models and bilinear modelling are not new concepts, the main contribution of this paper consists in combining both techniques to improve facial expression recognition and synthesis  ...  This paper addresses the issue of face representations for facial expression recognition and synthesis.  ...  This paper addresses the issue of face representations for facial expression recognition and synthesis.  ... 
doi:10.1049/ip-vis:20045060 fatcat:t73sh5ccyjgotprjpwm7ghmtgq

Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model [article]

Feng Zhou, Shu Kong, Charless Fowlkes, Tao Chen, Baiying Lei
2018 arXiv   pre-print
Moreover, we improved our method by a bilinear pooling which encodes second-order statistics of features. We showed such bilinear-CNN models significantly outperformed their respective baselines.  ...  We then tested our CNN-based methods for facial expression regression and these methods demonstrated promising performance.  ...  for natural facial expression recognition as a whole [6] [14] .  ... 
arXiv:1805.01024v1 fatcat:3mgoi3uxknelfczlcbgpskl4om

Bilinear elastically deformable models with application to 3D face and facial expression recognition

Iordanis Mpiperis, Sotiris Malassiotis, Michael G. Strintzis
2008 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition  
In this paper, we explore bilinear and elastically deformable models for addressing jointly 3-dimensional face and facial expression recognition.  ...  This enables the representation of the surface using two independent sets of control coefficients that can be used for joint face and facial expression recognition.  ...  Conclusions In this paper, we have demonstrated the application of bilinear models to decoupled face and facial expression recognition, obtaining improved classification results.  ... 
doi:10.1109/afgr.2008.4813333 dblp:conf/fgr/MpiperisMS08 fatcat:qgilfd2syvbfvjewiuavi2nddy

Data Augmentation and Second-Order Pooling for Facial Expression Recognition

Xiaoyun Tong, Songlin Sun, Meixia Fu
2019 IEEE Access  
Due to the small amount of facial expression data, this paper uses different data augmentation methods to increase the amount of training data and improve the generalization ability of the model.  ...  Facial expression recognition is still challenging due to the various obstacle, illumination, and posture.  ...  COMPARE TO OTHER POOLING In this section, we evaluate different second-order pooling methods for facial expression recognition.  ... 
doi:10.1109/access.2019.2923530 fatcat:r5ms476ufnfhjoro4sgg5w7gwq

Expression-Compensated 3D Face Recognition with Geodesically Aligned Bilinear Models

Iordanis Mpiperis, Sotiris Malassiotis, Michael G. Strintzis
2008 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems  
In this paper, we present a technique for addressing 3-dimensional face recognition in presence of facial expressions using a bilinear model.  ...  The bilinear model allows decoupling the impact of identity and expression on face appearance and encoding their contribution in separate control parameters.  ...  CONCLUSION In this paper, we have demonstrated the application of bilinear models to expression-invariant face recognition, obtaining improved classification results.  ... 
doi:10.1109/btas.2008.4699364 fatcat:ltc2jmjrdrhxpekt2qtndeck3m

Multimodal Attention Network for Continuous-time Emotion Recognition using Video and EEG Signals

Dong Yoon Choi, Deok-Hwan Kim, Byung Cheol Song
2020 IEEE Access  
VIDEO-BASED EMOTION RECOGNITION For a long time, human emotions have been regarded as being the same as facial expressions.  ...  ., locations of facial key points, many facial expression recognition (FER) algorithms using landmark information have been proposed [2] .  ... 
doi:10.1109/access.2020.3036877 fatcat:y4wlizlxfjg5jfypodhrq6bycq

Semi-supervised learning of multi-factor models for face de-identification

Ralph Gross, Latanya Sweeney, Fernando de la Torre, Simon Baker
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
In experiments on a large expression-variant face database we show that data coded using our multi-factor model leads to improved data utility while providing the same privacy protection.  ...  In this paper we propose a new multi-factor framework which unifies linear, bilinear, and quadratic models.  ...  We show PCA face recognition and SVM facial expression classification rates for different values of the privacy parameter k.  ... 
doi:10.1109/cvpr.2008.4587369 dblp:conf/cvpr/GrossSTB08 fatcat:6blqqjyssrgyxnod42egoiaypa

FaceWarehouse: A 3D Facial Expression Database for Visual Computing

Chen Cao, Yanlin Weng, Shun Zhou, Yiying Tong, Kun Zhou
2014 IEEE Transactions on Visualization and Computer Graphics  
These meshes with consistent topology are assembled as a rank-three tensor to build a bilinear face model with two attributes, identity and expression.  ...  We present FaceWarehouse, a database of 3D facial expressions for visual computing applications.  ...  This bilinear face model can be used to accurately estimate face identities and expressions for facial images and videos.  ... 
doi:10.1109/tvcg.2013.249 pmid:24434222 fatcat:3e7e5xotkvciphtcgygj5of4l4

Face hallucination based on morphological component analysis

Yan Liang, Xiaohua Xie, Jian-Huang Lai
2013 Signal Processing  
The main conclusion is that the contribution is significant when using local facial features (e.g., LBP), but unobvious when using holistic facial features (e.g., Eigenfaces).  ...  We also study the contribution of face hallucination to face recognition in the case that probe images and gallery images are under different resolutions.  ...  In this case, simultaneous super-resolution and expression normalization is necessary for improving the performance of face recognition.  ... 
doi:10.1016/j.sigpro.2012.08.014 fatcat:zoir2clcvffmpiih6pqdel2cri

Weakly Supervised Local-Global Relation Network for Facial Expression Recognition

Haifeng Zhang, Wen Su, Jun Yu, Zengfu Wang
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
Experiments on lab-controlled and real-world facial expression dataset show that WS-LGRN achieves state-of-the-art performance, which demonstrates its superiority in FER.  ...  Secondly, bilinear attention pooling is employed to generate and refine local features.  ...  The improvement in recognition accuracy demonstrates the effectiveness of contrastive loss.  ... 
doi:10.24963/ijcai.2020/145 dblp:conf/ijcai/ZhangS0W20 fatcat:5mlvd3b7nbcs3aptmri6e7kfem

Bilinear Active Appearance Models

Jose Gonzalez-Mora, Fernando De la Torre, Rajesh Murthi, Nicolas Guil, Emilio L. Zapata
2007 2007 IEEE 11th International Conference on Computer Vision  
This paper proposes Bilinear Active Appearance Models (BAAMs), an extension of AAMs, that effectively decouple changes due to pose and expression/identity.  ...  Experimental results show how BAAMs improve generalization and convergence with respect to the linear model. In addition, we illustrate decoupling benefits of BAAMs in face recognition across pose.  ...  Abboud and Davoine [2, 3] use an asymmetric bilinear model to separate identity/expression parameters using AAMs [10] for face recognition and synthesis.  ... 
doi:10.1109/iccv.2007.4409185 dblp:conf/iccv/Gonzalez-MoraTMGZ07 fatcat:7hi6rtzmebagdhzl352qna7wyy

Face De-identification [chapter]

Ralph Gross, Latanya Sweeney, Jeffrey Cohn, Fernando de la Torre, Simon Baker
2009 Protecting Privacy in Video Surveillance  
We then describe a novel framework for the de-identification of face images using multi-factor models which unify linear, bilinear, and quadratic data models.  ...  We show in experiments on a large expression-variant face database that the new algorithm is able to protect privacy while preserving data utility.  ...  We show PCA face recognition and SVM facial expression classification rates for different values of the privacy parameter k.  ... 
doi:10.1007/978-1-84882-301-3_8 fatcat:jxlsaubysvf2zavp56jdcsv2qa

Attentional Feature-Pair Relation Networks for Accurate Face Recognition [article]

Bong-Nam Kang and Yonghyun Kim and Bongjin Jun and Daijin Kim
2019 arXiv   pre-print
However, the robust face recognition under a drastic change of the facial pose, expression, and illumination is a big challenging problem for its practical application.  ...  Such variations make face recognition more difficult.  ...  proposed the pose-aware models (PAMs) [21] that handled pose variability by learning pose-aware models for frontal, half-profile, and full-profile poses to improve face recognition performance in an  ... 
arXiv:1908.06255v1 fatcat:s6nwesrdtbdazg7kl55eod5skq

Face Recognition Using Modular Bilinear Discriminant Analysis [chapter]

Muriel Visani, Christophe Garcia, Jean-Michel Jolion
2006 Lecture Notes in Computer Science  
In this paper, we present a new approach for face recognition, named Modular Bilinear Discriminant Analysis (MBDA).  ...  The experimental results indicate that MBDA is more effective than both BDA and the Modular Eigenspaces approach for face recognition.  ...  , facial expressions and head poses.  ... 
doi:10.1007/11590064_3 fatcat:lqssjrudqnfwxmmmdmriduu2xu

New Advance of Feature Extraction Algorithm for FER

Ting ZHANG
2017 DEStech Transactions on Computer Science and Engineering  
methods in theory, and comprehensively study facial expression recognition based the convolution neural network.  ...  As a challenging interdisciplinary in biometrics and emotional computing, Facial expression recognition (FER) has become a research hotspot in the field of pattern recognition, computer vision and artificial  ...  Feature Extraction Algorithms for 3D FER The 3D facial expression features can solve the research dilemma faced by 2D images well, and can improve the effect of the facial expression recognition, because  ... 
doi:10.12783/dtcse/csma2017/17343 fatcat:dtpuyspzcrck5bzk7nvbz7gnma
« Previous Showing results 1 — 15 out of 1,330 results