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Survey of Face Detection on Low-quality Images [article]

Yuqian Zhou, Ding Liu, Thomas Huang
2018 arXiv   pre-print
Secondly, we investigate their performance degradation while testing on low-quality images with different levels of blur, noise, and contrast.  ...  Face detection is a well-explored problem. Many challenges on face detectors like extreme pose, illumination, low resolution and small scales are studied in the previous work.  ...  on low-quality face detection.  ... 
arXiv:1804.07362v1 fatcat:mw2qljjif5drzlplmjvwlfvsyq

A REVIEW ON FAKE BIOMETRIC DETECTION SYSTEM FOR VARIOUS APPLICATIONS

Payal Patil .
2016 International Journal of Research in Engineering and Technology  
Which provide a very good performance and low degree of complexity. Also quality of Image is using two methods Full-Reference (FR) and No-Reference (NR).  ...  This image quality assessment (IQA) method is suitable for real time application which has been used for very low complexity.  ...  For remove the noise and blur image we used Low pass Filter to improve the quality level of image by using image quality assessment technique (IQA).In our project we detected various biometric application  ... 
doi:10.15623/ijret.2016.0503089 fatcat:avc56wukyze2jniq6q5w5ksddi

UAV survey of a coastal cliff face – Selection of the best imaging angle

Marion Jaud, Pauline Letortu, Claire Théry, Philippe Grandjean, Stéphane Costa, Olivier Maquaire, Robert Davidson, Nicolas Le Dantec
2019 Measurement (London)  
In this study, several flights are performed with various imaging angles (nadir, 20°, 30° and 40° off-nadir) to assess the impact of the imaging angle on the 3D cliff face reconstruction.  ...  This article also investigates other parameters affecting tiepoint detection on the cliff face, as the effective overlap, the UAV-cliff face distance and the cliff face illumination.  ...  This work is also part of the "Service National d'Observation" DYNALIT, via the research infrastructure ILICO.  ... 
doi:10.1016/j.measurement.2019.02.024 fatcat:jb3gkbuobrexfd7bnvvylfe2cy

HOST-ATS

Andreas Husa, Cise Midoglu, Malek Hammou, Pål Halvorsen, Michael A. Riegler
2022 Proceedings of the 13th ACM Multimedia Systems Conference  
The ML pipeline uses logo detection, close-up shot detection, face detection, image quality prediction, and blur detection to automatically select thumbnails from soccer videos in near real-time, and can  ...  survey.  ...  Face detection is used to detect the appearance of a face on a given image, as well as where the face appears on the image.  ... 
doi:10.1145/3524273.3532908 fatcat:n2byewku5jep7cfkbrl5m735ay

A Novel Face Features Extraction and Neural Network Based Face Quality Assessment Technique

Vikram Mutneja, Satvir Singh
2017 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Face quality assessment has evolved as eminent research area because of its significance in the task of face detection and recognition in unconstrained images from surveillance videos.  ...  It is a critical step particularly in low resolution surveillance cameras based systems in which it is important to discard the poor quality faces and select the faces having quality above a minimum acceptable  ...  Other are the faces which have so low resolution that facial landmarks can not be located. Obviously the quality of such facial images is very low.  ... 
doi:10.14257/ijsip.2017.10.3.08 fatcat:4jomhppq6jclxf36j3sdd2kq74

Face Recognition Systems under Morphing Attacks: A Survey

Ulrich Scherhag, Christian Rathgeb, Johannes Merkle, Ralph Breithaupt, Christoph Busch
2019 IEEE Access  
In particular, the attacks based on morphed face images pose a severe security risk to face recognition systems.  ...  INDEX TERMS Biometrics, face morphing attack, face recognition, image morphing, morphing attack detection.  ...  FIGURE 6 . 6 Examples of BRISQUE scores for quality estimation (low values indicate high image quality).  ... 
doi:10.1109/access.2019.2899367 fatcat:5veggu6mkbb2foiybyjr6d6db4

Scrutinize Study on Face Recognition by Pose Invariant Methodology

Deepika Dubey, G.S Tomar, Hye-jin Kim
2016 International Journal of Future Generation Communication and Networking  
In this survey of face detection technology has been presented in this work feature based approach with low level analysis has been done.  ...  Texture images of the face in the database can be the same view as the probe during surveillance.  ...  Literature Survey In [6] face recognition is explored on the basis of feature extraction from range of images.  ... 
doi:10.14257/ijfgcn.2016.9.9.30 fatcat:7pubhhmelvhtzj2qxcukr2wmja

Potential of Smartphone SfM Photogrammetry to Measure Coastal Morphodynamics

Marion Jaud, Matthieu Kervot, Christophe Delacourt, Stéphane Bertin
2019 Remote Sensing  
To measure the cliff face, fan-shaped capturing mode allowed a quicker image acquisition on site and better results (mean error of 1.3 cm with a standard deviation of 0.1 cm at 20 m from the cliff face  ...  A simultaneous Terrestrial Laser Scanner (TLS) survey provided a reference dataset to assess the quality of the SfM reconstructions.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11192242 fatcat:m4jzw2a3mffb7mmp7nfslfvrfm

A survey on automatic techniques for enhancement and analysis of digital photography

Claudio S. V. C. Cavalcanti, Herman Martins Gomes, José Eustáquio Rangel De Queiroz
2013 Journal of the Brazilian Computer Society  
Nevertheless, it is not within the scope of this survey to review image quality metrics for evaluating degradation due to compression, digital sensor noise, and affine issues.  ...  Within the above context, this survey focuses on systematically reviewing the state-of-art on techniques for the enhancement and analysis of digital photos.  ...  Acknowledgments The authors wish to thank Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for the financial support of part of this research.  ... 
doi:10.1007/s13173-013-0102-1 fatcat:4ezegfngpfgnxbhtdckieskh3u

Fast Facial Landmark Detection and Applications: A Survey [article]

Kostiantyn Khabarlak, Larysa Koriashkina
2021 arXiv   pre-print
We focus on approaches that have led to a significant increase in quality over the past few years on datasets with large pose and emotion variability, high levels of face occlusions - all of which are  ...  In this paper we survey and analyze modern neural-network-based facial landmark detection algorithms.  ...  In this paper we focus on one particular application of mobile machine learning, namely facial landmark detection, as it is a part of many algorithms that in some way process face images, where low processing  ... 
arXiv:2101.10808v2 fatcat:57wjrlzuj5btvnuuqwiabtcoea

Face Image Quality Assessment: A Literature Survey

Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, Christoph Busch
2022 ACM Computing Surveys  
This survey provides an overview of the face image quality assessment literature, which predominantly focuses on visible wavelength face image input.  ...  Automatically assessing the quality of face data in terms of biometric utility can thus be useful to detect low-quality data and make decisions accordingly.  ...  than video frame selection, FIQA could inherently be used to increase the robustness of face detection by ignoring candidate areas in an image with especially low quality.  ... 
doi:10.1145/3507901 fatcat:xvs67qamgbbdtjydzekinnq62u

A Survey on Object Detection Methods in Visual Sensor Networks

Shamim Yousefi, Samad Najjar Ghabel
2016 International Journal of Advanced Smart Sensor Network Systems  
Object detection is one of the major challenges in visual sensor networks (VSNs) which is set up in the monitoring applications.  ...  To be more precise, presented survey promotes an overview of recent object detection methods' literature with their performance evaluation.  ...  The simulation results demonstrated that face detection method injects low volume of traffic into the network and saves camera nodes energy.  ... 
doi:10.5121/ijassn.2016.6201 fatcat:aa32utjfpnbitbmkxrc6pfizqy

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection [article]

Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia
2020 arXiv   pre-print
This survey provides a thorough review of techniques for manipulating face images including DeepFake methods, and methods to detect such manipulations.  ...  Among all the aspects discussed in the survey, we pay special attention to the latest generation of DeepFakes, highlighting its improvements and challenges for fake detection.  ...  Regarding the scenarios considered in DeepfakeTIMIT, two different qualities are considered: i) low quality (LQ) with images of 64×64 pixels, and ii) high quality (HQ) with images of 128×128 pixels.  ... 
arXiv:2001.00179v3 fatcat:tq4sqedsgve23pwm66qidbzgt4

3D Face Morphing Attacks: Generation, Vulnerability and Detection [article]

Jag Mohan Singh, Raghavendra Ramachandra
2022 arXiv   pre-print
We also present the quantitative assessment of the quality of the generated 3D face morphing models using eight different quality metrics.  ...  on the color images and depth maps.  ...  Thus, future works could investigate the proposed 3D morphing generation and detection techniques using low-quality (depth) 3D scans.  ... 
arXiv:2201.03454v2 fatcat:23hxfaqr3jabrb4my6tuw6hski

Face Image Quality Assessment: A Literature Survey [article]

Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, Christoph Busch
2021 arXiv   pre-print
This survey provides an overview of the face image quality assessment literature, which predominantly focuses on visible wavelength face image input.  ...  Automatically assessing the quality of face data in terms of biometric utility can thus be useful to detect low-quality data and make decisions accordingly.  ...  This text reflects only the author's views and the Commission is not liable for any use that may be made of the information contained therein.  ... 
arXiv:2009.01103v3 fatcat:ilhbi4vwgfg3ld2wynty5aqjzq
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