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Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization [article]

Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun
2018 arXiv   pre-print
HF-PIM frontalizes the profiles through a novel texture warping procedure and leverages a dense correspondence field to bind the 2D and 3D surface spaces.  ...  Exhaustive experiments on both controlled and uncontrolled environments demonstrate that the proposed method not only boosts the performance of pose-invariant face recognition but also dramatically improves  ...  Concretely, the facial texture map and a novel dense correspondence field are leveraged to produce Y through warping.  ... 
arXiv:1806.08472v2 fatcat:pflnq7o74be6vgxybzkzhb7y6a

A Joint Convolutional Bidirectional LSTM Framework for Facial Expression Recognition

Jingwei YAN, Wenming ZHENG, Zhen CUI, Peng SONG
2018 IEICE transactions on information and systems  
The spatial dependencies of different spatial facial regions are worth exploring and can improve the performance of facial expression recognition.  ...  Moreover, a shortcut connection for convolutional feature maps is introduced for joint feature representation. We conduct experiments on two databases to evaluate the proposed JCBLSTM method.  ...  [5] developed 1D CNN consisting of 1D convolutional and 1D max pooling layer to explore high-level semantic information from the feature matrix for multi-view facial expression recognition.  ... 
doi:10.1587/transinf.2017edl8208 fatcat:p4tj45xdd5fkbes6zzbs5z3yta

3D face texture modeling from uncalibrated frontal and profile images

Hu Han, Anil K. Jain
2012 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)  
The proposed method is utilized for 2D face recognition in two scenarios: (i) normalization of probe image, and (ii) enhancing the representation capability of gallery set.  ...  In many applications, for example, law enforcement, multi-view face images are usually captured for a subject during enrollment, which makes it desirable to build a 3D face texture model, given a pair  ...  The proposed 3D face texture model is used to improve 2D face recognition accuracy in two ways: (i) face normalization, and (ii) representation capability enhancement.  ... 
doi:10.1109/btas.2012.6374581 dblp:conf/btas/HanJ12 fatcat:pveatfw3zrha7jupwvqiteo3uq

A Review of 3D Face Reconstruction From a Single Image [article]

Hanxin Wang
2021 arXiv   pre-print
This approach improves on the likenesses of previous approaches, especially in features relevant to facial recognition such as the eyebrow texture and nose shape.  ...  While the multi-view identity loss try to keep the consistency of the predicted 3D face features and the input photograph features from multiple viewing angles.  ... 
arXiv:2110.09299v2 fatcat:h2wxpnjr5vg6pmf4b7f2xwadii

Multi-view Face Recognition via Well-advised Pose Normalization Network

Xiaohu Shao, Xiangdong Zhou, Zhenghao Li, Yu Shi
2020 IEEE Access  
Numerous face frontalization methods based on 3D Morphable Model (3DMM) and Generative Adversarial Networks (GAN) have made great progress in multi-view face recognition.  ...  wisely, to achieve a high accuracy on multi-view face recognition.  ...  Pose Normalization Network (WAPNN), to normalize facial poses and extract concatenated features wisely for improving multi-view face recognition.  ... 
doi:10.1109/access.2020.2983459 fatcat:y4ozlaqrbrdvbgvnyckcwy3zli

Dynamic biometric identification from multiple views using the GLBP-TOP method

Yu Wang, Xuanjing Shen, Haipeng Chen, Yujie Zhai
2014 Bio-medical materials and engineering  
To realize effective and rapid dynamic biometric identification with low computational complexity, a video-based facial texture program that extracts local binary patterns from three orthogonal planes  ...  The proposed algorithm was proved effective through the biometric experiments using the Honda/UCSD database, and was robust against changes of illumination and expressions.  ...  Framework of the proposed algorithm A novel video-based facial representation and recognition method is proposed in this paper.  ... 
doi:10.3233/bme-141089 pmid:25226976 fatcat:h5jkibgzt5dgdenexkx6ceglle

Pose-robust face signature for multi-view face recognition

Pengfei Dou, Lingfeng Zhang, Yuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris
2015 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
We propose a novel framework for multi-view face recognition based on extracting and matching pose-robust face signatures from 2D images.  ...  a novel feature representation of the original 2D facial image.  ...  All statements of fact, opinion or conclusions contained herein are those of the authors and should not be construed as representing the official views or policies of the sponsors.  ... 
doi:10.1109/btas.2015.7358788 dblp:conf/btas/DouZWSK15 fatcat:6bxncscu6rhjdeb2gesjhdmqai

Facial expression recognition and synthesis based on an appearance model

Bouchra Abboud, Franck Davoine, Mô Dang
2004 Signal processing. Image communication  
In this last framework, we propose two facial expression modelling approaches. r  ...  This article addresses the issue of expressive face modelling using an active appearance model for facial expression recognition and synthesis.  ...  ARTICLE IN PRESS We addressed the significance of two AAM representations for automatic facial expression recognition.  ... 
doi:10.1016/j.image.2004.05.009 fatcat:6t2qmhirjbaqlgsvs5umyijcc4

MVF-Net: Multi-View 3D Face Morphable Model Regression [article]

Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu
2019 arXiv   pre-print
We in this paper explore 3DMM-based shape recovery in a different setting, where a set of multi-view facial images are given as input.  ...  A novel approach is proposed to regress 3DMM parameters from multi-view inputs with an end-to-end trainable Convolutional Neural Network (CNN).  ...  Multi-view 3DMM-based Reconstruction In the multi-view setting, a straightforward solution [14] for 3DMM-based reconstruction is to first perform traditional multi-view 3D reconstruction [9] and then  ... 
arXiv:1904.04473v1 fatcat:rtf53cohq5bslpqsa2kcbuiqqq

A Comprehensive Survey on Pose-Invariant Face Recognition [article]

Changxing Ding, Dacheng Tao
2016 arXiv   pre-print
Existing PIFR methods can be grouped into four categories, i.e., pose-robust feature extraction approaches, multi-view subspace learning approaches, face synthesis approaches, and hybrid approaches.  ...  Compared to frontal face recognition, which has been intensively studied and has gradually matured in the past few decades, pose-invariant face recognition (PIFR) remains a largely unsolved problem.  ...  , which needs to be improved by multi-view subspace learning.  ... 
arXiv:1502.04383v3 fatcat:opz5onz775cj5hxvoaggvmp52q

A Comprehensive Survey on Pose-Invariant Face Recognition

Changxing Ding, Dacheng Tao
2016 ACM Transactions on Intelligent Systems and Technology  
Existing PIFR methods can be grouped into four categories, i.e., pose-robust feature extraction approaches, multi-view subspace learning approaches, face synthesis approaches, and hybrid approaches.  ...  Compared to frontal face recognition, which has been intensively studied and has gradually matured in the past few decades, pose-invariant face recognition (PIFR) remains a largely unsolved problem.  ...  , which needs to be improved by multi-view subspace learning.  ... 
doi:10.1145/2845089 fatcat:dbzheowl5vha7h3rglrpkphsla

3D Face Recognition [chapter]

Naser Zaeri
2011 New Approaches to Characterization and Recognition of Faces  
A face-based biometric system consists of acquisition devices, preprocessing, feature extraction, data storage and a comparator.  ...  Thus, they are not suitable for surveillance applications or control access points where only one "normal" 2D texture image (from any view) acquired from a single camera is available.  ...  Using a data set of varying facial expressions and lighting conditions, (Bowyer et al., 2006) reported an improvement in rank one recognition rate from 96.11% with two frames per subject to 100% with  ... 
doi:10.5772/18696 fatcat:3uoguw3bo5gmlpor63xbid25vy

Pattern Recognition of Surgically Altered Face Images Using MultiObjective Evolutionary Algorithm

Leena Patil
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
The multi-objective evolutionary algorithm is a novel approach for pattern recognition of surgically altered face images.  ...  Plastic surgery procedures changes the texture, appearance and the shape of different facial regions.  ...  ACKNOWLEDGMENT This material is based on work supported by Miss Utkarsha Narkhede, HOD of computer department Dr.Prof.G.K.Patnaik from SSBT COET, Jalgaon.  ... 
doi:10.17762/ijritcc2321-8169.1503162 fatcat:4xgmqrtx6fbm3dc2jpmraskt2e

Multi-View Texture Learning for Face Super-Resolution

Yu WANG, Tao LU, Feng YAO, Yuntao WU, Yanduo ZHANG
2021 IEICE transactions on information and systems  
In order to effectively solve the above problems, we propose a novel face SR network based on multi-view face images, which focus on obtaining more texture information from multi-view face images to help  ...  Due to multi-view face images contain texture information from different views, which can be used as effective prior information, how to use this prior information from multi-views to reconstruct frontal  ...  Specifically, given a facial image pair (frontal facial image and other multi-view images), first, use residual pooling module (RPM) to generate multi-view facial texture features.  ... 
doi:10.1587/transinf.2020edp7223 fatcat:73apog6c6ra3pf5es4ry6uzlju

Neural Head Avatars from Monocular RGB Videos [article]

Philip-William Grassal
2022 arXiv   pre-print
Our representation can be learned from a monocular RGB portrait video that features a range of different expressions and views.  ...  mesh as well as a view- and expression-dependent texture.  ...  We gratefully acknowledge the GWK support for funding this project by providing computing time through the Center for Information Services and HPC (ZIH) at TU Dresden.  ... 
arXiv:2112.01554v2 fatcat:svlbhpdpkvh65a3vshy6kqjeei
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