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Face Recognition on Low Resolution Face Image With TBE-CNN Architecture

Suharjito Suharjito, Atria Dika Puspita
<span title="">2020</span> <i title="ASTES Journal"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5z5fhzfgard2vod5er2hdyuq54" style="color: black;">Advances in Science, Technology and Engineering Systems</a> </i> &nbsp;
Face recognition in low resolution images has challenges in active research because face recognition is usually implemented in high resolution images (HR) .  ...  Therefore, this study aims to classify low-resolution face images using a combination of pre-processing and deep learning.  ...  And the results obtained for still-to-video prove that TBE-CNN is one of the best architectures for face recognition on low-resolution face images for still-to-video cases.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25046/aj050291">doi:10.25046/aj050291</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5hnqfxfgzfhnjcsy2j3arpigga">fatcat:5hnqfxfgzfhnjcsy2j3arpigga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507215817/https://www.astesj.com/publications/ASTESJ_050291.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/6d/9e/6d9ee5ff7e7aa6265ceb1618484af267f0c7c551.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25046/aj050291"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Face Recognition on Low-Resolution Image using Multi Resolution Convolution Neural Network and Antialiasing Method

Mario Imandito, Suharjito
<span title="">2019</span> <i title="The Science and Information Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2yzw5hsmlfa6bkafwsibbudu64" style="color: black;">International Journal of Advanced Computer Science and Applications</a> </i> &nbsp;
The aim of this research is to develop a new model for face recognition of low-resolution image in order to increase the accuracy of recognition.  ...  Based on the problem, identifying the face of the query in low resolution, based on high resolution (64x64) proves to be a huge challenge.  ...  In 2016 [8] as same as [4] , they do their research on surveillance system. They proposed Convolutional Neural Network (CNN) for the low-resolution video face recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2019.0101257">doi:10.14569/ijacsa.2019.0101257</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vsuszii56rd55gmedjkcu3lbty">fatcat:vsuszii56rd55gmedjkcu3lbty</a> </span>
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CNN-based Gender Prediction in Uncontrolled Environments

Kazım YILDIZ, Engin GÜNEŞ, Anil BAS
<span title="2021-04-25">2021</span> <i title="Duzce Universitesi Bilim ve Teknoloji Dergisi"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xot2lz5icrhozdnolbgtdien6m" style="color: black;">Düzce Üniversitesi Bilim ve Teknoloji Dergisi</a> </i> &nbsp;
The aim of the study is to classify low-resolution images with high accuracy.  ...  By using deep learning techniques from these technologies, high performance can be achieved in tasks such as classification and face analysis in the fields of image processing and computer vision.  ...  Masud et al. suggested a tree-based model which is using deep model for automatic face recognition in a cloud environment which is computationally less expensive.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.29130/dubited.763427">doi:10.29130/dubited.763427</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z2fpt3ay4zbuplnyiqquzk72mm">fatcat:z2fpt3ay4zbuplnyiqquzk72mm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715092437/https://dergipark.org.tr/en/download/article-file/1185828" 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/55/4e/554eb561d7b0d8b8d6ab0f66b4db17107b05b8c2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.29130/dubited.763427"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Video Based Person Re-Identification Through Selective Knowledge Distillation

Gudavalli Sai Abhilash, Kantheti Rajesh, Jangam Dileep Shaleem, Grandi Sai Sarath, Palli R Krishna Prasad
<span title="2019-03-11">2019</span> <i title="Technoscience Academy"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cwo66igunvdiplkdqwpqsgzpem" style="color: black;">International Journal of Scientific Research in Computer Science Engineering and Information Technology</a> </i> &nbsp;
The teacher stream is represented by a complex CNN for high-accuracy recognition, and the student stream is represented by a much simpler CNN for low-complexity recognition.  ...  The creation and deployment of face recognition models need to identify low-resolution faces with extremely low computational cost.  ...  For face recognition, the most relevant neurons are identified at higher hidden layers. The features are distilled based on classes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32628/cseit1952179">doi:10.32628/cseit1952179</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o75zy4c6vzdh3cxjcjrjmjwxeu">fatcat:o75zy4c6vzdh3cxjcjrjmjwxeu</a> </span>
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Deep-Facial Feature-Based Person Reidentification for Authentication in Surveillance Applications [chapter]

Yogameena Balasubramanian, Nagavani Chandrasekaran, Sangeetha Asokan, Saravana Sri Subramanian
<span title="2019-07-25">2019</span> <i title="IntechOpen"> Visual Object Tracking in the Deep Neural Networks Era [Working Title] </i> &nbsp;
Initially, faces are detected by faster region-based convolutional neural network (Faster R-CNN).  ...  The proposed framework overcomes the challenges such as pose variations, low resolution, and partial occlusions (mask and goggles).  ...  Acknowledgements This work has been supported under Video Analytics and Development System (VADS) project sponsored by IISC Bangalore under DST.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/intechopen.87223">doi:10.5772/intechopen.87223</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/juz253rvhbdz7aledhfepa2omy">fatcat:juz253rvhbdz7aledhfepa2omy</a> </span>
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Multimodal Low Resolution Face and Frontal Gait Recognition from Surveillance Video

Sayan Maity, Mohamed Abdel-Mottaleb, Shihab S. Asfour
<span title="">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ikdpfme5h5egvnwtvvtjrnntyy" style="color: black;">Electronics</a> </i> &nbsp;
The proposed system has two components, one is responsible for performing frontal gait recognition and one is responsible for low-resolution face recognition.  ...  Second, it uses a low-resolution face recognition approach which can be trained and tested using low-resolution face information.  ...  Low-Resolution Face Feature Representation In this section, we describe the proposed algorithm for low-resolution face recognition from surveillance video clips.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10091013">doi:10.3390/electronics10091013</a> <a target="_blank" rel="external noopener" href="https://doaj.org/article/46769ed6fbf842c8ac68ffb373934346">doaj:46769ed6fbf842c8ac68ffb373934346</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bebdizpu3jcl3odzsw3zcgeaym">fatcat:bebdizpu3jcl3odzsw3zcgeaym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210611080155/https://res.mdpi.com/d_attachment/electronics/electronics-10-01013/article_deploy/electronics-10-01013.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/2b/9a/2b9a2b4903eb5055b5a603967b65091a37e182fe.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10091013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Application of Multiscale Facial Feature Manifold Learning Based on VGG-16

Huilin Ge, Zhiyu Zhu, Runbang Liu, Xuedong Wu, Kelvin Wong
<span title="2021-08-24">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zlknqk4ahbcsthbafxw55emm7a" style="color: black;">Journal of Sensors</a> </i> &nbsp;
manifold (MSFFM) algorithm based on VGG16.  ...  In order to solve the problems of small face image samples, high size, low structure, no label, and difficulty in tracking and recapture in security videos, we propose a popular multiscale facial feature  ...  In this paper, a CNN is used to construct a face recognition system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/7129800">doi:10.1155/2021/7129800</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ayzuofpy5do7gucf24ncgvcb4">fatcat:2ayzuofpy5do7gucf24ncgvcb4</a> </span>
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Dense Feature Based Face Recognition from Surveillance Video using Convolutional Neural Network

K. Suma, Et. al.
<span title="2021-04-11">2021</span> <i title="Auricle Technologies, Pvt., Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/53g4hcectze5tdtddjgryyqzvi" style="color: black;">Turkish Journal of Computer and Mathematics Education</a> </i> &nbsp;
This paper proposes a four-patch Local Binary Pattern based FR utilizing Convolutional Neural Network (CNN) for identifying the Facial images from various illumination conditions and Pose variation.  ...  In recent years, many researchers have developed different algorithms to identify the Faces from various illumination variations and Pose variation, but these two problems remain unsolved in Face Recognition  ...  Low Resolution: Images with less than 16*16 resolutions are called low resolution images as the standard image must have minimum 16*16 resolution.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17762/turcomat.v12i5.2040">doi:10.17762/turcomat.v12i5.2040</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r22mxqztwfg7tnbxe7vi32n27y">fatcat:r22mxqztwfg7tnbxe7vi32n27y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210414224958/https://turcomat.org/index.php/turkbilmat/article/download/2040/1766" 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/75/cd/75cd79bca9a859e7167b57b55b6910580389d592.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17762/turcomat.v12i5.2040"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Crime Detection and Criminal Recognition to Intervene in Interpersonal Violence Using Deep Convolutional Neural Network With Transfer Learning

Mohammad Reduanul Haque, Rubaiya Hafiz, Alauddin Al Azad, Yeasir Adnan, Sharmin Akter Mishu, Amina Khatun, Mohammad Shorif Uddin
<span title="">2021</span> <i title="IGI Global"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/het3nhhd7zgzncoporhtg3h6ve" style="color: black;">International Journal of Ambient Computing and Intelligence (IJACI)</a> </i> &nbsp;
This study found that off-the-shelf CNN can be fine-tuned to extract discriminative features from very low resolution and noisy images.  ...  The criminals who directly or indirectly committed the crime often do not go into the trial for the lack of proper evidence as it is very tough to collect photographic proof of the incident.  ...  Kamencay (Kamencay, Benčo, Miždoš & Radil, 2017) has proposed a CNN-based face recognition method that can be able to identify faces with a recognition accuracy of 98.3%.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4018/ijaci.20211001.oa1">doi:10.4018/ijaci.20211001.oa1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xerm4bvnifgq7agk6skdbctuzi">fatcat:xerm4bvnifgq7agk6skdbctuzi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428035515/https://www.igi-global.com/viewtitle.aspx?TitleId=268800&amp;isxn=9781799860297" 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/f4/63/f4632b6af0b8343b6927e0f9df6c57336bc319c9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4018/ijaci.20211001.oa1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach [article]

Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang
<span title="2017-09-10">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
While video frames are downsampled at the encoder side, the decoder is embedded with a deep network model for joint super-resolution (SR) and recognition.  ...  We develop a novel framework to achieve robust emotion recognition from low bit rate video.  ...  Low-Resolution Visual Recognition Empirical studies [32] , [33] in face recognition proved that a minimum face resolution between 32×32 and 64×64 is required for most stand-alone recognition algorithms  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.03126v1">arXiv:1709.03126v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gaxgpcnuczgixghlvhap5jxkgm">fatcat:gaxgpcnuczgixghlvhap5jxkgm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200902040236/https://arxiv.org/pdf/1709.03126v1.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/83/68/8368623d36388af37b2eba3fd87e0825add20125.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.03126v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Novel BSSSO-Based Deep Convolutional Neural Network for Face Recognition with Multiple Disturbing Environments

Neha Soni, Enakshi Khular Sharma, Amita Kapoor
<span title="2021-03-08">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ikdpfme5h5egvnwtvvtjrnntyy" style="color: black;">Electronics</a> </i> &nbsp;
The obtained features are subjected to Deep CNN for face recognition, wherein the training is performed using novel BSSSO.  ...  For the removal of noise, a type II fuzzy system and cuckoo search optimization algorithm (T2FCS) is used.  ...  [11] employed the coupled mappings approach for face recognition based on Deep CNN with low resolution.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10050626">doi:10.3390/electronics10050626</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u3ubuphf6jb77har5377ykafpe">fatcat:u3ubuphf6jb77har5377ykafpe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210309211725/https://res.mdpi.com/d_attachment/electronics/electronics-10-00626/article_deploy/electronics-10-00626.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/ae/91/ae91b73f2ae52bf812c218a194a04063ce83e929.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10050626"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Scrutinize Study on Face Recognition by Pose Invariant Methodology

Deepika Dubey, G.S Tomar, Hye-jin Kim
<span title="2016-09-30">2016</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aoxdam2x3rcszlweqkjkp7qcyy" style="color: black;">International Journal of Future Generation Communication and Networking</a> </i> &nbsp;
In this survey of face detection technology has been presented in this work feature based approach with low level analysis has been done.  ...  (2D) face recognition.  ...  CNN are of two type 4-layer and 2-layer CNN architectures for face recognition system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijfgcn.2016.9.9.30">doi:10.14257/ijfgcn.2016.9.9.30</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7pubhhmelvhtzj2qxcukr2wmja">fatcat:7pubhhmelvhtzj2qxcukr2wmja</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602142535/http://www.sersc.org/journals/IJFGCN/vol9_no9/30.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/1b/28/1b283f1129fda9e38b383baeed771385bfa2a8bc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijfgcn.2016.9.9.30"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Multimodal Camera-based Gender Recognition Using Human-body Image with Two-step Reconstruction Network

Na Rae Baek, Se Woon Cho, Ja Hyung Koo, Noi Quang Truong, Kang Ryoung Park
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Moreover, in the case of back-view images, gender recognition based on the facial image is impossible because the face cannot be detected.  ...  Thus, gender recognition using the full-body human-body images of people is being studied but its performance is low owing to problems such as low resolution, motion blur, and optical blur.  ...  To solve this problem, this study performed two-step CNN-based image reconstruction for low-resolution human body images captured at a distance.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2932146">doi:10.1109/access.2019.2932146</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ek52nvldbfa3vk3pykt5nvnoyy">fatcat:ek52nvldbfa3vk3pykt5nvnoyy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718003855/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08782507.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/59/0b/590b7450e70b81a0e3f78527a1bdd18d85877804.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2932146"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

PSI-CNN: A Pyramid-Based Scale-Invariant CNN Architecture for Face Recognition Robust to Various Image Resolutions

Gi Nam, Heeseung Choi, Junghyun Cho, Ig-Jae Kim
<span title="2018-09-05">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
the network to learn scale-independent information and improving the recognition performance on low resolution images.  ...  To circumvent these issues, we propose PSI-CNN, a generic pyramid-based scale-invariant CNN architecture which additionally extracts untrained feature maps across multiple image resolutions, thereby allowing  ...  Conclusions In this paper, we proposed PSI-CNN, a pyramid-based scale-invariant network for face recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app8091561">doi:10.3390/app8091561</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/55bc2l4a5jgbnh3h7ot5egn5aa">fatcat:55bc2l4a5jgbnh3h7ot5egn5aa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190505223617/https://res.mdpi.com/applsci/applsci-08-01561/article_deploy/applsci-08-01561.pdf?filename=&amp;attachment=1" 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/83/dd/83ddcb22d051c1f60ec6317247b822241920efc2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app8091561"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Targeted Face Recognition and Alarm Generation for Security Surveillance using Single Shot Multibox Detector (SSD)

K. M., Maisha Binte, Nazmus Sakib
<span title="2019-12-17">2019</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
So, the proposed work focuses mainly on face recognition with custom Bangladeshi dataset that can be robust enough against blurriness, pose variations and occlusions.  ...  Face recognition has been considered as one of the most important means of security in prevention of crimes in this era. Surveillance cameras in crowded areas keeps good monitoring of all activities.  ...  Convolutional Neural Network (CNN) has recent developments in this regard for face recognition [13] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2019919652">doi:10.5120/ijca2019919652</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j55thkiiqfhrhnudke64dcbgwe">fatcat:j55thkiiqfhrhnudke64dcbgwe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220224170518/https://www.ijcaonline.org/archives/volume177/number22/jawad-2019-ijca-919652.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/c6/da/c6dab4805d8398da7d70e69da3c9a6a261216fd5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2019919652"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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