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Face Detection on Mobile: Five Implementations and Analysis [article]

Kostiantyn Khabarlak
<span title="2022-05-12">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Mobile devices have limited processing power and should have long-enough battery life even with face detection application running.  ...  In many practical cases face detection on smartphones or other highly portable devices is a necessity.  ...  "Face Detection on Mobile: Five Implementations and Analysis," CoRR, vol. abs/2205.05572, 2022. arXiv: 2205.05572.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2205.05572v2">arXiv:2205.05572v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qnhyzuhbbbdi5dgxfoxfs4u5zi">fatcat:qnhyzuhbbbdi5dgxfoxfs4u5zi</a> </span>
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Face Mask Assistant: Detection of Face Mask Service Stage Based on Mobile Phone [article]

Yuzhen Chen, Menghan Hu, Chunjun Hua, Guangtao Zhai, Jian Zhang, Qingli Li, Simon X. Yang
<span title="2020-10-09">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Aimed at solving the problem that we don't know which service stage of the mask belongs to, we propose a detection system based on the mobile phone.  ...  To curb its spread at the source, wearing masks is a convenient and effective measure. In most cases, people use face masks in a high-frequent but short-time way.  ...  Finally, based on the two contributions mentioned above, we have implemented a detection Wechat Applet for face masks using the data collected from three persons' wearing face masks in daily life, which  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.06421v1">arXiv:2010.06421v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3szl5fkk2jadzhxlzhk6pl67gi">fatcat:3szl5fkk2jadzhxlzhk6pl67gi</a> </span>
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Real-time implementation of robust face detection on mobile platforms

M. Rahman, Jianfeng Ren, N. Kehtarnavaz
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rc5jnc4ldvhs3dswicq5wk3vsq" style="color: black;">2009 IEEE International Conference on Acoustics, Speech and Signal Processing</a> </i> &nbsp;
This paper presents the real-time implementation of our previously introduced face detection algorithm on a mobile device. The steps taken to achieve such a real-time implementation are discussed.  ...  Real-time comparison results with the widely used Viola-Jones face detection algorithm in terms of detection rate and processing speed are presented to demonstrate the robustness of our real-time solution  ...  CONCLUSION This paper has presented the real-time implementation of a robust face detection algorithm on mobile devices.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2009.4959843">doi:10.1109/icassp.2009.4959843</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icassp/RahmanRK09.html">dblp:conf/icassp/RahmanRK09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ur6oj4d2qzhijnpc6gmvivrfl4">fatcat:ur6oj4d2qzhijnpc6gmvivrfl4</a> </span>
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Face Mask Assistant: Detection of Face Mask Service Stage Based on Mobile Phone

Yuzhen Chen, Menghan Hu, Chunjun Hua, Guangtao Zhai, Jian Zhang, Qingli Li, Simon X. Yang
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/blxwdtb2nfevpltlbto4vdqbte" style="color: black;">IEEE Sensors Journal</a> </i> &nbsp;
Aimed at solving the problem that we do not know which service stage of the mask belongs to, we propose a detection system based on the mobile phone.  ...  This article is free to access and download, along with rights for full text and data mining, re-use and analysis.  ...  Cost Analysis and Limitation of Face Mask Condition The system mainly consists of a microscope and a mobile phone.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jsen.2021.3061178">doi:10.1109/jsen.2021.3061178</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/man4okxgafh5ll5egegswflysu">fatcat:man4okxgafh5ll5egegswflysu</a> </span>
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Application Research on Face Detection Technology based on OpenCV in Mobile Augmented Reality

Hu Peng
<span title="2015-04-30">2015</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ym6wyoim55h6lliru6w4ssplki" style="color: black;">International Journal of Signal Processing, Image Processing and Pattern Recognition</a> </i> &nbsp;
And with people entertainment needs growing, mobile augmented reality based on face detection has become a research hotspot.  ...  A development framework of the face detection technique based on OpenCV in mobile augmented reality application is proposed.  ...  on face detection in mobile augmented reality application.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijsip.2015.8.4.22">doi:10.14257/ijsip.2015.8.4.22</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/akkbdrf3fveldj4jmg4n3wb6qe">fatcat:akkbdrf3fveldj4jmg4n3wb6qe</a> </span>
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Automatic Analysis of In-the-Wild Mobile Eye-tracking Experiments using Object, Face and Person Detection
english

Stijn De Beugher, Geert Brône, Toon Goedemé
<span title="">2014</span> <i title="SCITEPRESS - Science and and Technology Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tyl5kfigejfehnouax7r3tii24" style="color: black;">Proceedings of the 9th International Conference on Computer Vision Theory and Applications</a> </i> &nbsp;
We present a novel method for processing this mobile eye-tracking data by applying object, face and person detection algorithms.  ...  Furthermore we present a temporal smoothing technique to improve the detection rate and we trained a new detection model for occluded person and face detections.  ...  Detection of Faces and Bodies The second part of our approach focuses on the detection of faces and human bodies as it is nessecary for e.g. customer journey experiments (see section 2.2).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5220/0004741606250633">doi:10.5220/0004741606250633</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/visapp/BeugherBG14.html">dblp:conf/visapp/BeugherBG14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tijkm2j54zdp7idn5o7lqsvvsu">fatcat:tijkm2j54zdp7idn5o7lqsvvsu</a> </span>
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Real Masks and Spoof Faces: On the Masked Face Presentation Attack Detection [article]

Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
<span title="2021-11-01">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Moreover, face presentation attack detection (PAD) is crucial to ensure the security of FR systems.  ...  Therefore, we present novel attacks with real face masks placed on presentations and attacks with subjects wearing masks to reflect the current real-world situation.  ...  The five masks are three small blue surgical masks, one slighter bigger white face mask, and one uncropped mask.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.01546v2">arXiv:2103.01546v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zfxbbqailnaw5lt6ee4z23wtge">fatcat:zfxbbqailnaw5lt6ee4z23wtge</a> </span>
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Face detection and recognition for smart glasses

Constantino Alvarez Casado, Miguel Bordallo Lopez, Jukka Holappa, Matti Pietikainen
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vllis2dahnb5be34h6q4qwi4zq" style="color: black;">2015 International Symposium on Consumer Electronics (ISCE)</a> </i> &nbsp;
In this context, we have constructed an prototype that detects and recognizes faces in real-time, and runs independently on the device.  ...  Face detection and recognition are key components in multiple camera-based devices and applications.  ...  This device is based on a small fortmat System on Chip composed by a dual-core mobile processor clocked at 1.2 GHz and a mobile GPU, supporting OpenGL ES 2.0.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isce.2015.7177783">doi:10.1109/isce.2015.7177783</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/isce/CasadoLHP15.html">dblp:conf/isce/CasadoLHP15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qcir7xufpneyrejocwm2pp4ozy">fatcat:qcir7xufpneyrejocwm2pp4ozy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180417221036/http://www.ee.oulu.fi:80/~miguelbl/publications/Paper%20ISCE15.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0c/9d/0c9d352f25d7da800ade21d4826495ec4bb8bbd7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isce.2015.7177783"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Face Liveness Detection Based on Skin Blood Flow Analysis

Shun-Yi Wang, Shih-Hung Yang, Yon-Ping Chen, Jyun-We Huang
<span title="2017-12-07">2017</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nzoj5rayr5hutlurimhzyjlory" style="color: black;">Symmetry</a> </i> &nbsp;
Furthermore, the proposed system can be implemented in real time, which is valuable for mobile applications.  ...  This paper proposes two novel features for face liveness detection systems to protect against printed photo attacks and replayed attacks for biometric authentication systems.  ...  Acknowledgments: This work was financially supported by the Ministry of Science and Technology of the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/sym9120305">doi:10.3390/sym9120305</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nicxnoirgjbb5bvgq2qqozdlca">fatcat:nicxnoirgjbb5bvgq2qqozdlca</a> </span>
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Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function

Waldir R. Almeida, Fernanda A. Andaló, Rafael Padilha, Gabriel Bertocco, William Dias, Ricardo da S. Torres, Jacques Wainer, Anderson Rocha, He Debiao
<span title="2020-09-04">2020</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
In this work, we study the problem of automatically detecting presentation attacks against face authentication methods, considering the use-case of fast device unlocking and hardware constraints of mobile  ...  One example takes place when an impostor, aiming at unlocking someone else's smartphone, deceives the built-in face recognition system by presenting a printed image of the user.  ...  PLOS ONE Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function Inference.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0238058">doi:10.1371/journal.pone.0238058</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32886705">pmid:32886705</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7473524/">pmcid:PMC7473524</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vardxd4cuzdulkcyhvmqoz3aiq">fatcat:vardxd4cuzdulkcyhvmqoz3aiq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200919034818/https://journals.plos.org/plosone/article/file?id=10.1371%2Fjournal.pone.0238058&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c4/8b/c48b8e2ce3afa9cf1847203fffa4b71f27e6b17f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0238058"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473524" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

On Improving Temporal Consistency for Online Face Liveness Detection [article]

Xiang Xu and Yuanjun Xiong and Wei Xia
<span title="2020-06-11">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we focus on improving the online face liveness detection system to enhance the security of the downstream face recognition system.  ...  Extensive experiments demonstrated that our solution is more robust against several presentation attacks in various scenarios, and significantly outperformed the state-of-the-art on multiple public datasets  ...  In this paper, we focus on online face liveness detection for common real-world use cases such as face authorization.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.06756v1">arXiv:2006.06756v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cjr2wbgb6zdzjldzvyqfjncje4">fatcat:cjr2wbgb6zdzjldzvyqfjncje4</a> </span>
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Unconstrained Face Detection and Open-Set Face Recognition Challenge

M. Gunther, P. Hu, C. Herrmann, C. H. Chan, M. Jiang, S. Yang, A. R. Dhamija, D. Ramanan, J. Beyerer, J. Kittler, M. Al Jazaery, M. I. Nouyed (+3 others)
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/73tg2istqjeqjiyqefyhcj3ud4" style="color: black;">2017 IEEE International Joint Conference on Biometrics (IJCB)</a> </i> &nbsp;
Face detection and recognition benchmarks have shifted toward more difficult environments.  ...  and false accepts from the face detector.  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/btas.2017.8272759">doi:10.1109/btas.2017.8272759</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icb/GuntherHHCJYDRB17.html">dblp:conf/icb/GuntherHHCJYDRB17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e6shfhizpnavtdkcsomibvdwgm">fatcat:e6shfhizpnavtdkcsomibvdwgm</a> </span>
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On the Generalisation Capabilities of Fisher Vector based Face Presentation Attack Detection [article]

Lázaro J. González-Soler, Marta Gomez-Barrero, Christoph Busch
<span title="2021-03-02">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In order to mitigate those security concerns, most face Presentation Attack Detection techniques have reported a good detection performance when they are evaluated on known Presentation Attack Instruments  ...  For those more realistic scenarios, the existing algorithms face difficulties to detect unknown PAI species in many cases.  ...  Acknowledgements This research work has been funded by the DFG-ANR RESPECT Project (406880674), and the German Federal Ministry of Education and Research and the Hessian Ministry of Higher Education, Research  ... 
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Deep Representations for Iris, Face, and Fingerprint Spoofing Detection

David Menotti, Giovani Chiachia, Allan Pinto, William Robson Schwartz, Helio Pedrini, Alexandre Xavier Falcao, Anderson Rocha
<span title="">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xqa4uhvxwvgsbdpllabnuanz6e" style="color: black;">IEEE Transactions on Information Forensics and Security</a> </i> &nbsp;
We assume a very limited knowledge about biometric spoofing at the sensor to derive outstanding spoofing detection systems for iris, face, and fingerprint modalities based on two deep learning approaches  ...  However, these systems might be deceived (or "spoofed") and, despite the recent advances in spoofing detection, current solutions often rely on domain knowledge, specific biometric reading systems, and  ...  [54] also explored image-based attacks and proposed the frequency entropy analysis for spoofing detection. Pinto et al. [55] pioneered research on video-based face spoofing detection.  ... 
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Unseen Face Presentation Attack Detection Using Class-Specific Sparse One-Class Multiple Kernel Fusion Regression [article]

Shervin Rahimzadeh Arashloo
<span title="2019-12-31">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
For this purpose, a pure one-class face presentation attack detection approach based on kernel regression is developed which only utilises bona fide (genuine) samples for training.  ...  The results of experimental evaluations conducted on the OULU-NPU, Replay-Mobile, Replay-Attack and MSU-MFSD datasets illustrate that the proposed method compares very favourably with other methods operating  ...  Attack Detection in Mobile Scenarios" [68] .  ... 
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