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Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction [article]

Jiangjing Lyu, Xiaobo Li, Xiangyu Zhu, Cheng Cheng
2020 arXiv   pre-print
To circumvent these hurdles, we introduce Pixel-Face, a large-scale, high-resolution and diverse 3D face dataset with massive annotations.  ...  Each sample is composed of high-resolution multi-view RGB images and 3D meshes with various expressions. Moreover, we collect precise landmarks annotation and 3D registration result for each data.  ...  A large-scale, high-resolution and multi-modality 3D face dataset with affluent annotation is required to deal with the above problems.  ... 
arXiv:2008.12444v3 fatcat:tzzzla5ayvf7fgi5cftum5ibum

Sub-pixel face landmarks using heatmaps and a bag of tricks [article]

Samuel W. F. Earp and Aubin Samacoits and Sanjana Jain and Pavit Noinongyao and Siwa Boonpunmongkol
2021 arXiv   pre-print
Finally, we test the effect on face recognition using these landmarks, using a publicly available model and benchmarks.  ...  Accurate face landmark localization is an essential part of face recognition, reconstruction and morphing. To accurately localize face landmarks, we present our heatmap regression approach.  ...  We would also like to thank Jeff Hnybida & Moses Kim for useful conversations during the writing of this paper.  ... 
arXiv:2103.03059v2 fatcat:iio26vqn5rbothu3sdbxbyctxq

UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation

Ha A. Le, Ioannis A. Kakadiaris
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
In addition, while 3D data have been demonstrated improved face recognition accuracy by a significant margin, only a few 3D face datasets provide high quality 2D and 3D data.  ...  Face datasets are a fundamental tool to analyze the performance of face recognition algorithms. However, the accuracy achieved on current benchmark datasets is saturated.  ...  LFW was published in 2007, and has been a standard benchmark in face recognition for a decade.  ... 
doi:10.1109/iccvw.2017.300 dblp:conf/iccvw/LeK17 fatcat:jcsmg5wmpjdg7er5win42mjszi

Accelerating 3D Deep Learning with PyTorch3D [article]

Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari
2020 arXiv   pre-print
We address these challenges by introducing PyTorch3D, a library of modular, efficient, and differentiable operators for 3D deep learning.  ...  Compared with other differentiable renderers, PyTorch3D is more modular and efficient, allowing users to more easily extend it while also gracefully scaling to large meshes and images.  ...  PyTorch3D's scale efficiency allows us to train a High Res variant which deforms an even larger sphere (2562 verts, 5120 faces). Voxel GCN.  ... 
arXiv:2007.08501v1 fatcat:ynk2ntc5bncjlc3bc7n6k3geia

Collaborative Regression of Expressive Bodies using Moderation [article]

Yao Feng, Vasileios Choutas, Timo Bolkart, Dimitrios Tzionas, Michael J. Black
2021 arXiv   pre-print
Whole-body methods are robust to a wide range of poses and resolutions, but provide only a rough 3D face shape without details like wrinkles.  ...  Face methods recover accurate 3D shape and geometric details, but need a tight crop and struggle with extreme views and low resolution.  ...  However, this makes hands and faces too low resolution. We thus use an attention mechanism [18] to extract from I high-resolution crops for the face/head, I f , and hand, I h .  ... 
arXiv:2105.05301v2 fatcat:egno6wwzp5h7hbh7raz7uvpuvi

SphereSR: 360 Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation [article]

Youngho Yoon, Inchul Chung, Lin Wang, Kuk-Jin Yoon
2021 arXiv   pre-print
As such, SphereSR flexibly reconstructs an HR image under an arbitrary projection type. Experiments on various benchmark datasets show that our method significantly surpasses existing methods.  ...  In that case, as the output high-resolution(HR) image is always in the same ERP format as the low-resolution (LR) input, another information loss may occur when transforming the HR image to other projection  ...  Early studies have attempted to reconstruct high-resolution (HR) ODIs by interpolating the missing data between the LR image pixels [3, 5, 26] .  ... 
arXiv:2112.06536v2 fatcat:j7cawsacdvgj7aj47b76sphdby

Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures [article]

Omair Sarwar and Bernhard Rinner and Andrea Cavallaro
2018 arXiv   pre-print
The filter, which is applied only when the resolution is high enough for a face to be recognisable, adaptively distorts the face appearance as a function of its resolution.  ...  In order to evaluate the efficiency of the proposed approach, we use a state-of-the-art face recognition algorithm and synthetically generated face data with 3D geometric image transformations that mimic  ...  Similarly, a super-resolution algorithm first learns embeddings between the high-resolution and their corresponding low-resolution faces and then reconstructs the highresolution faces forR P (Dong et  ... 
arXiv:1810.12435v1 fatcat:fbzo5lpfrzf3nbm6gtferjp3ie

FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Specifically, we first construct a coarse SR network to recover a coarse high-resolution (HR) image.  ...  Abstract Face Super-Resolution (SR) is a domain-specific superresolution problem. The facial prior knowledge can be leveraged to better super-resolve face images.  ...  a High-Resolution (HR) face image from a Low-Resolution (LR) input.  ... 
doi:10.1109/cvpr.2018.00264 dblp:conf/cvpr/ChenT0S018 fatcat:5dcj4k2bsbhnzoepefzgfqpnte

Hand Gesture Recognition Based on Computer Vision: A Review of Techniques

Munir Oudah, Ali Al-Naji, Javaan Chahl
2020 Journal of Imaging  
This paper is a thorough general overview of hand gesture methods with a brief discussion of some possible applications.  ...  This paper focuses on a review of the literature on hand gesture techniques and introduces their merits and limitations under different circumstances.  ...  Acknowledgments: The authors would like to thank the staff in Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq and the participants for their support to conduct the  ... 
doi:10.3390/jimaging6080073 pmid:34460688 fatcat:zmid23k67vbozb54sfji4nlfiy

Privacy–Enhancing Face Biometrics: A Comprehensive Survey

Blaz Meden, Peter Rot, Philipp Terhorst, Naser Damer, Arjan Kuijper, Walter J. Scheirer, Arun Ross, Peter Peer, Vitomir Struc
2021 IEEE Transactions on Information Forensics and Security  
Face recognition technology, in particular, has been in the spotlight, and is now seen by many as posing a considerable risk to personal privacy.  ...  ) applied to face biometrics.  ...  For more information, see This article has been accepted for publication in a future issue of this journal, but has not been fully edited.  ... 
doi:10.1109/tifs.2021.3096024 fatcat:z5kvij6g7vgx3b24narxdyp2py


2020 2020 International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM)  
After ten years of continuous holding, as a conference focusing on electromagnetics related topics, the iWEM becomes a small-scaled but international platform for scientists and engineers to exchange their  ...  ideas, and also a good venue for young scholars and research students to demonstrate their innovative works and results on electromagnetic field, antennas, RF and microwave circuit, and measurement technology  ...  We also thank the National Center for High-speed Computing (NCHC), Taiwan for software support.  ... 
doi:10.1109/iwem49354.2020.9237401 fatcat:soy4ile3tnaqdjgnvkm27dy4dq

Video-to-Video Face Recognition for Low-Quality Surveillance Data

Christian Herrmann
The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data.  ...  Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.  ...  This results in a few frames for each face track with high image quality and a rather large face size mostly exceeding 100 × 100 pixels.  ... 
doi:10.5445/ksp/1000083168 fatcat:ioqu66rtc5aqxjwjicw6y2yoki

Trustworthy Face Recognition: Improving Generalization of Deep Face Presentation Attack Detection

Amir Mohammadi
Moreover, I propose a novel CNN that analyzes the face images at different scales. This multi-scale analysis allows the proposed CNN to generalize better compared to baseline CNNs. 2.  ...  The extremely high recognition accuracy achieved by modern, convolutional neural network (CNN) based face recognition (FR) systems has contributed significantly to the adoption of such systems in a variety  ...  Still images of IARPA Janus Benchmark C (IJB-C) 3 face recognition dataset are used for this purpose.  ... 
doi:10.5075/epfl-thesis-7635 fatcat:psmdz3be4jdz7eva6ptpj2ijte

A Pose Invariant Face Recognition system using Subspace Techniques My Parents ACKNOWLEDGMENT

Mohammed Aleemuddin, Jamil Bakhashwain, Abdulaziz Mohammad, Al, Ohali
2004 unpublished
Deriche for his constant endeavor, guidance and the time he devoted for this research work.  ...  All praise and glory be to Allah, for giving me an opportunity to pursue the M.S. program at King Fahd University of Petroleum and Minerals.  ...  Face recognition requirements: • Fast learning and real-time recognition of faces, with a minimum number of tunable parameters. • Ability to work with low resolution (size lesser then 50 × 50 pixels) face  ... 

Spatial and temporal analysis of facial actions

Bihan Jiang, Maja Pantic, European Community
Morphology and dynamics are the two aspects of facial actions, that are crucial for the interpretation of human facial behaviour.  ...  In the spatial domain, a novel feature extraction strategy is proposed based on a heuristically defined regions from which a separate classifier is trained and fused in the decision-level.  ...  The texture images are of a resolution of 1600 × 1200 pixels, while the 3D faces consist of approximately 35,000 vertices.  ... 
doi:10.25560/25002 fatcat:rfhnyg5fmfapjlc7a6irspghse
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