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Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
[article]
2018
arXiv
pre-print
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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
2018
IEICE transactions on information and systems
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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
2012
2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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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]
2021
arXiv
pre-print
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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
2020
IEEE Access
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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
2014
Bio-medical materials and engineering
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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
2015
2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)
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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
2004
Signal processing. Image communication
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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]
2019
arXiv
pre-print
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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]
2016
arXiv
pre-print
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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
2016
ACM Transactions on Intelligent Systems and Technology
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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]
2011
New Approaches to Characterization and Recognition of Faces
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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
2015
International Journal on Recent and Innovation Trends in Computing and Communication
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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
2021
IEICE transactions on information and systems
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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]
2022
arXiv
pre-print
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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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