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Masked Face Identification by Ensuring Safe Social Distancing, Temperature Screening and Crime Detection

Ashamol P R
2021 International Journal for Research in Applied Science and Engineering Technology  
COVID -19 pandemic is the defining global health crisis of our time which eventually led to the use of face mask and maintaining safe social distancing, which became mandatory for reducing the rate of  ...  For this purpose we are using deep convolutional neural network (CNN) along with this MLP is also used for classification process.  ...  Experimental results confirm that registration based on the adaptively selected model together with the masked subspace analysis classification offer an occlusion robust face recognition system.  ... 
doi:10.22214/ijraset.2021.36177 fatcat:7vkdsxevf5ecdd4orprphrdnoy

Robust 3D Face Recognition in Presence of Pose and Partial Occlusions or Missing Parts

Parama Bagchi, Debotosh Bhattacharjee, Mita Nasipuri
2014 International Journal in Foundations of Computer Science & Technology  
In this paper, we propose a robust 3D face recognition system which can handle pose as well as occlusions in real world.  ...  The restored images, after the removal of occlusions, are then fed to the recognition system for classification purpose.  ...  ACKNOWLEDGEMENTS Authors are thankful to a grant supported by DeitY, MCIT, Govt. of India, at Department of Computer Science and Engineering, Jadavpur University, India for providing necessary infrastructure  ... 
doi:10.5121/ijfcst.2014.4402 fatcat:teelrhrch5fa7dqqvqjxvgqar4

3D Face Recognition: A Survey [article]

Yaping Jing, Xuequan Lu, Shang Gao
2021 arXiv   pre-print
The advantages and disadvantages of the techniques are summarized in terms of accuracy, complexity and robustness to face variation (expression, pose and occlusions, etc).  ...  In recent years, the research on face recognition has shifted to using 3D facial surfaces, as more discriminating features can be represented by the 3D geometric information.  ...  In order to improve the robustness to large occlusions or poses, SIFT keypoint detection is directly used for 3D mesh data. The extension of SIFT for 3D mesh is called MeshSIFT [57] .  ... 
arXiv:2108.11082v1 fatcat:drpuqdt6ore5dje4hiamsmi43i

Depth based Occlusion Detection and Localization from 3D Face Image

Suranjan Ganguly, Debotosh Bhattacharjee, Mita Nasipuri
2015 International Journal of Image Graphics and Signal Processing  
In this paper, authors have proposed two novel techniques for occlusion detection and then localization of the occluded section from a given 3D face image if occlusion is present.  ...  For both of these methods, at first, the 2.5D or range face images are created from input 3D face images.  ...  It is a crucial task towards high performance face recognition purpose. Thus, not only frontal range face images but also occluded face can be considered for robust face recognition purpose.  ... 
doi:10.5815/ijigsp.2015.05.03 fatcat:44ni6plopvfv3oka7spdpz32wa

4D unconstrained real-time face recognition using a commodity depth camera

Florin Schimbinschi, Marco Wiering, Rajesh Elara Mohan, Jaichandar Kulandaidaasan Sheba
2012 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)  
Robust unconstrained real-time face recognition still remains a challenge today.  ...  This article accompanies the reader through a succinct survey of the current literature on face recognition in general and 3D face recognition using depth sensors in particular.  ...  II. 3D REGISTRATION ALGORITHMS A. Overview 3D registration [37] refers to the goal of alignment of two sets of 3D points, according to their similarities.  ... 
doi:10.1109/iciea.2012.6360717 fatcat:dtrbpikn3rdvbkfygskqkprjoq

Robust 2D Ear Registration and Recognition Based on SIFT Point Matching

John D. Bustard, Mark S. Nixon
2008 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems  
This paper describes a new technique which improves the robustness of ear registration and recognition, addressing issues of pose variation, background clutter and occlusion.  ...  Good recognition rates have been demonstrated under controlled conditions, using manual registration or with specialised equipment.  ...  One approach, originally developed for face recognition, is the use of a Haar-like feature object detector, as proposed by Viola et al. [11] .  ... 
doi:10.1109/btas.2008.4699373 fatcat:m4fc4iga3jbejihfdwyrelfbmq

3D face recognition: a survey

Song Zhou, Sheng Xiao
2018 Human-Centric Computing and Information Sciences  
Many researchers have turned their focuses to 3D face recognition and made this research area a new trend. A general work flow for 3D face recognition is shown in Fig. 1 .  ...  The fast evolution of 3D sensors reveals a new path for face recognition that could overcome the fundamental limitations of 2D technologies.  ...  [105] proposed a new 3D face registration and recognition method for partial face regions, which can achieve a good recognition effect in the expression and face occlusion.  ... 
doi:10.1186/s13673-018-0157-2 fatcat:xwhabcqu6zgy7bezu5744hgvhq

A Generative Model for Depth-Based Robust 3D Facial Pose Tracking

Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We consider the problem of depth-based robust 3D facial pose tracking under unconstrained scenarios with heavy occlusions and arbitrary facial expression variations.  ...  cloud, which augments the robustness against the occlusions.  ...  The utilization of depth data from commodity real-time range sensors has led to more robust 3D facial pose tracking, not only by enabling registration along the depth axis, but also by providing cues for  ... 
doi:10.1109/cvpr.2017.489 dblp:conf/cvpr/ShengCCPN17 fatcat:bzfdzz4jnfcxnflugmiyif5tiy

Bosphorus Database for 3D Face Analysis [chapter]

Arman Savran, Neşe Alyüz, Hamdi Dibeklioğlu, Oya Çeliktutan, Berk Gökberk, Bülent Sankur, Lale Akarun
2008 Lecture Notes in Computer Science  
A new 3D face database that includes a rich set of expressions, systematic variation of poses and different types of occlusions is presented in this paper.  ...  Hence, this new database can be a very valuable resource for development and evaluation of algorithms on face recognition under adverse conditions and facial expression analysis as well as for facial expression  ...  We would like to thank to subjects who voluntarily let their faces to be scanned.  ... 
doi:10.1007/978-3-540-89991-4_6 fatcat:ftnnakscgjhdbalxtuguut2cdq

3D morphable model construction for robust ear and face recognition

John D. Bustard, Mark S. Nixon
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
In principle, therefore, using ears in addition to the face within a recognition system could improve accuracy and robustness, particularly for non-frontal views.  ...  When combined with a robust registration algorithm the resulting system enables full head morphable models to be constructed efficiently using less constrained datasets.  ...  To address these issues, the model construction process has been adapted to be robust to both occlusion and noise. This is achieved by labelling parts of the mesh as invalid.  ... 
doi:10.1109/cvpr.2010.5539968 dblp:conf/cvpr/BustardN10 fatcat:5h5pg3qs3rgadps7lx5gz66y2i

Robust 3D head tracking by online feature registration

Jun-Su Jang, Takeo Kanade
2008 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition  
This paper presents a robust method for tracking the position and orientation of a head in videos. The proposed method can overcome occlusions and divergence problems.  ...  The robustness of the proposed tracker is experimentally shown with video sequences that include occlusions and large pose variations. 978-1-4244-2154-1/08/$25.00 c 2008 IEEE Motion estimation between  ...  Conclusions In this paper, we presented a robust 3D head tracking system using online feature registration.  ... 
doi:10.1109/afgr.2008.4813307 fatcat:jlvq2smbkzhkbjs442ftlts2jm

Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction

Frédéric Bosché
2010 Advanced Engineering Informatics  
Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction.  ...  A more robust point matching method is used and registration quality is improved with the implementation of an Iterative Closest Point (ICP) based fine registration step.  ...  Acknowledgements We would like to thank the Competence Center for Digital Design and Modeling (DDM) for its financial support.  ... 
doi:10.1016/j.aei.2009.08.006 fatcat:vvl6mkcyeja7zmb72fjjuch56m

3D Face Recognition: Technology and Applications [chapter]

Berk Gökberk, Albert Ali Salah, Neşe Alyüz, Lale Akarun
2009 Advances in Pattern Recognition  
3D Face Recognition 3D Face Recognition 3D Face Recognition 3D Face Recognition 3D Face Recognition  ...  Automatic Landmarking Robust localization of facial landmarks is an important step in 2D and 3D face recognition.  ... 
doi:10.1007/978-1-84882-385-3_9 fatcat:is4cpqk32bdf7ffonocls2vjsm

A Fast and Fully Automatic Ear Recognition Approach Based on 3D Local Surface Features [chapter]

S. M. S. Islam, R. Davies, A. S. Mian, M. Bennamoun
2008 Lecture Notes in Computer Science  
In this paper, an approach is proposed for human ear recognition based on robust 3D local features.  ...  A minimal rectangular subset of the whole 3D ear data only containing the corresponding features is then passed to the Iterative Closest Point (ICP) algorithm for final recognition.  ...  Acknowledgements We acknowledge the use of the UND Biometrics databases for ear detection and recognition. We also like to thank D'Errico for the surface fitting code.  ... 
doi:10.1007/978-3-540-88458-3_98 fatcat:zxidsotgfngwhiwklkpzlzytny

Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition

Evangelos Sariyanidi, Hatice Gunes, Andrea Cavallaro
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We analyse the state-of-the-art solutions by decomposing their pipelines into fundamental components, namely face registration, representation, dimensionality reduction and recognition.  ...  This survey allows us to identify open issues and to define future directions for designing real-world affect recognition systems.  ...  FACE REGISTRATION Face registration is a fundamental step for facial affect recognition.  ... 
doi:10.1109/tpami.2014.2366127 pmid:26357337 fatcat:5uv4jaqu4nhihnkwcpqimvylye
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