Conferences related to Face Recognition

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2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)

The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.


2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT)

CSI Kolkata Chapter has started organizing this conference since 2006. The aim was to recognize the tremendous growth in the field of core and application areas of information technology. In addition to provide a forum to exchange ideas on the emerging areas of Information Technology the conference aims to bring together technologists, application developers and researchers from the industry, academic institutions and R&D Laboratories.

  • 2014 Fourth International Conference of Emerging Applications of Information Technology (EAIT)

    Organized by Computer Society of India Kolkata Chapter. EAIT 2006, EAIT 2011 and EAIT 2012 proceedings published by Elsevier, IEEE CS and IEEE respectively. Encouraged by the earlier responses CSI Kolkata Chapter is organizing EAIT 2014. Conference Goal is to recognize the tremendous growth in the field of core and application areas of Information Technology and in order to provide a forum to exchange ideas on the emerging areas of Information Technology and to bring together technologists, application developers and researchers from the industry, academic institutions and R&D Laboratories with a purpose of blending theory, practice and research.

  • 2012 Third International Conference on Emerging Applications of Information Technology (EAIT)

    Organized by Computer Society of India Kolkata Chapter. EAIT 2006 and EAIT 2011 proceedings published by Elsevier and IEEE CS respectively. Encouraged by the earlier responses CSI Kolkata Chapter is organizing EAIT2012 comprising of pre-conference tutorials, lectures by eminent speakers of international repute, session papers and panel discussions.

  • 2011 Second International Conference on Emerging Applications of Information Technology (EAIT)

    The First International Conference on Emerging Applications of Information Technology (EAIT 2006) organized and hosted by the CSI Kolkata Chapter was bravura success. Keeping the tradition CSI Kolkata Chapter is organizing the Second International Conference on Emerging Applications of Information Technology (EAIT 2011). The event will comprise of Pre-Conference Tutorials, plenary sessions, invited lectures by eminent speakers of international repute, session papers and panel discussions. To recognize the


2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

The conference serves as the primary annual meeting for researchers in the field of human-robot interaction. The event will include a main papers track and additional sessions for posters, demos, and exhibits. Additionally, the conference program will include a full day of workshops and tutorials running in parallel.

  • 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchersin robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior,anthropology, and many other fields.

  • 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    This conference focuses on the interaction between humans and robots.

  • 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very bestresearch and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary,reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificialintelligence, organizational behavior, anthropology, and many other fields.

  • 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single-track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics.

  • 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    TOPICS: Robot companions, Lifelike robots, Assistive (health & personal care) robotics, Remote robots, Mixed initiative interaction, Multi-modal interaction, Long-term interaction with robots, Awareness and monitoring of humans, Task allocation and coordination, Autonomy and trust, Robot-team learning, User studies of HRI, Experiments on HRI collaboration, Ethnography and field studies, HRI software architectures

  • 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    * Robot companions * Lifelike robots * Assistive (health & personal care) robotics * Remote robots * Mixed initiative interaction * Multi-modal interaction * Long-term interaction with robots * Awareness and monitoring of humans * Task allocation and coordination * Autonomy and trust * Robot-team learning * User studies of HRI * Experiments on HRI collaboration * Ethnography and field studies * HRI software architectures

  • 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics Individual vs. group HRI

  • 2007 2nd Annual Conference on Human-Robot Interaction (HRI)


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Periodicals related to Face Recognition

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Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Information Forensics and Security, IEEE Transactions on

Research on the fundamental contributions and the mathematics behind information forensics, information seurity, surveillance, and systems applications that incorporate these features.


Instrumentation and Measurement, IEEE Transactions on

Measurements and instrumentation utilizing electrical and electronic techniques.


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Most published Xplore authors for Face Recognition

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Xplore Articles related to Face Recognition

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A study of real-time image processing method for treating human emotion by facial expression

D. Yang; T. Kunihiro; H. Shimoda; H. Yoshikawa Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on, 1999

The aim of this study is to develop image processing methodologies for recognition of human facial expression to understand human emotion, and for the synthesis of facial expression to express emotion by computer graphics. With respect to the recognition of facial expression, a real-time image processing system is developed to calculate the distance changes of various feature points on the ...


Effective false positive reduction in multilevel face detection system using convolutional neural networks

Denis Timoshenko; Valery Grishkin; Evgeny Smirnov 2014 International Conference on Computer Technologies in Physical and Engineering Applications (ICCTPEA), 2014

In this paper, the robust method for reduction of `false positive' in<;br/>multilevel face detection system is proposed. The method is based on<;br/>convolutional neural network and trained on results from cascades of<;br/>boosted classifiers. Moreover, we evaluate the effect of modern<;br/>approaches like Dropout and DropConnect on network learning.


Decision Fusion for Patch-Based Face Recognition

Berkay Topcu; Hakan Erdogan 2010 20th International Conference on Pattern Recognition, 2010

Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusions. Feature fusion and decision fusion are two distinct ways to make use of the extracted local features. Apart from the well-known decision fusion methods, a novel approach for calculating weights for the ...


Efficient feature extraction with simultaneous recurrent network for metric learning

M. Alam; L. Vidyaratne; K. M. Iftekharuddin 2016 International Joint Conference on Neural Networks (IJCNN), 2016

Metric learning has been successful in distance based classification tasks. However, metric learning tends to become increasingly complex with the increase of input feature dimensionality. Therefore, application of an efficient feature extraction and dimensionality reduction technique prior to metric learning has been pursued. Conventional feature extraction and dimensionality reduction techniques used for metric learning are usually hand- crafted and may ...


A Novel Features Extracting Technique Useing Location in Face Recognition

Da-peng Gao; Qing-xing Zhu; Xing-jiang Yang; Chao-rong Li 2012 International Conference on Computer Science and Electronics Engineering, 2012

In PCA for the face recognition technique, computing the eigenvalues of the image matrix is the first step. Then these eigenvalues are sorted in descending order. A certain number of vectors, which correspond with these eigenvalues, are chosen by descending order and regarded as features of the face. Furthermore, these features show the whole image's characters. There are differences between ...


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Educational Resources on Face Recognition

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eLearning

A study of real-time image processing method for treating human emotion by facial expression

D. Yang; T. Kunihiro; H. Shimoda; H. Yoshikawa Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on, 1999

The aim of this study is to develop image processing methodologies for recognition of human facial expression to understand human emotion, and for the synthesis of facial expression to express emotion by computer graphics. With respect to the recognition of facial expression, a real-time image processing system is developed to calculate the distance changes of various feature points on the ...


Effective false positive reduction in multilevel face detection system using convolutional neural networks

Denis Timoshenko; Valery Grishkin; Evgeny Smirnov 2014 International Conference on Computer Technologies in Physical and Engineering Applications (ICCTPEA), 2014

In this paper, the robust method for reduction of `false positive' in<;br/>multilevel face detection system is proposed. The method is based on<;br/>convolutional neural network and trained on results from cascades of<;br/>boosted classifiers. Moreover, we evaluate the effect of modern<;br/>approaches like Dropout and DropConnect on network learning.


Decision Fusion for Patch-Based Face Recognition

Berkay Topcu; Hakan Erdogan 2010 20th International Conference on Pattern Recognition, 2010

Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusions. Feature fusion and decision fusion are two distinct ways to make use of the extracted local features. Apart from the well-known decision fusion methods, a novel approach for calculating weights for the ...


Efficient feature extraction with simultaneous recurrent network for metric learning

M. Alam; L. Vidyaratne; K. M. Iftekharuddin 2016 International Joint Conference on Neural Networks (IJCNN), 2016

Metric learning has been successful in distance based classification tasks. However, metric learning tends to become increasingly complex with the increase of input feature dimensionality. Therefore, application of an efficient feature extraction and dimensionality reduction technique prior to metric learning has been pursued. Conventional feature extraction and dimensionality reduction techniques used for metric learning are usually hand- crafted and may ...


A Novel Features Extracting Technique Useing Location in Face Recognition

Da-peng Gao; Qing-xing Zhu; Xing-jiang Yang; Chao-rong Li 2012 International Conference on Computer Science and Electronics Engineering, 2012

In PCA for the face recognition technique, computing the eigenvalues of the image matrix is the first step. Then these eigenvalues are sorted in descending order. A certain number of vectors, which correspond with these eigenvalues, are chosen by descending order and regarded as features of the face. Furthermore, these features show the whole image's characters. There are differences between ...


More eLearning Resources

IEEE-USA E-Books

  • References

    How has the Internet, a medium that thrives on control, been accepted as a medium of freedom? Why is freedom increasingly indistinguishable from paranoid control? In Control and Freedom, Wendy Hui Kyong Chun explores the current political and technological coupling of freedom with control by tracing the emergence of the Internet as a mass medium. The parallel (and paranoid) myths of the Internet as total freedom/total control, she says, stem from our reduction of political problems into technological ones.Drawing on the theories of Gilles Deleuze and Michel Foucault and analyzing such phenomena as Webcams and face-recognition technology, Chun argues that the relationship between control and freedom in networked contact is experienced and negotiated through sexuality and race. She traces the desire for cyberspace to cyberpunk fiction and maps the transformation of public/private into open/closed. Analyzing "pornocracy," she contends that it was through cyberporn and the government's attempts to regulate it that the Internet became a marketplace of ideas and commodities. Chun describes the way Internet promoters conflated technological empowerment with racial empowerment and, through close examinations of William Gibson's Neuromancer and Mamoru Oshii's Ghost in the Shell, she analyzes the management of interactivity in narratives of cyberspace.The Internet's potential for democracy stems not from illusory promises of individual empowerment, Chun argues, but rather from the ways in which it exposes us to others (and to other machines) in ways we cannot control. Using fiber optic networks -- light coursing through glass tubes -- as metaphor and reality, Control and Freedom engages the rich philosophical tradition of light as a figure for knowledge, clarifica tion, surveillance, and discipline, in order to argue that fiber-optic networks physically instantiate, and thus shatter, enlightenment.

  • Quaternionic Fuzzy Neural Network for View-Invariant Color Face Image Recognition

    This chapter contains sections titled: Introduction Face Recognition System Quaternion-Based View-Invariant Color Face Image Recognition Enrollment Stage and Recognition Stage for Quaternion-Based Color Face Image Correlator Max-Product Fuzzy Neural Network Classifier Experimental Results Conclusion and Future Research Directions

  • Index

    How has the Internet, a medium that thrives on control, been accepted as a medium of freedom? Why is freedom increasingly indistinguishable from paranoid control? In Control and Freedom, Wendy Hui Kyong Chun explores the current political and technological coupling of freedom with control by tracing the emergence of the Internet as a mass medium. The parallel (and paranoid) myths of the Internet as total freedom/total control, she says, stem from our reduction of political problems into technological ones.Drawing on the theories of Gilles Deleuze and Michel Foucault and analyzing such phenomena as Webcams and face-recognition technology, Chun argues that the relationship between control and freedom in networked contact is experienced and negotiated through sexuality and race. She traces the desire for cyberspace to cyberpunk fiction and maps the transformation of public/private into open/closed. Analyzing "pornocracy," she contends that it was through cyberporn and the government's attempts to regulate it that the Internet became a marketplace of ideas and commodities. Chun describes the way Internet promoters conflated technological empowerment with racial empowerment and, through close examinations of William Gibson's Neuromancer and Mamoru Oshii's Ghost in the Shell, she analyzes the management of interactivity in narratives of cyberspace.The Internet's potential for democracy stems not from illusory promises of individual empowerment, Chun argues, but rather from the ways in which it exposes us to others (and to other machines) in ways we cannot control. Using fiber optic networks -- light coursing through glass tubes -- as metaphor and reality, Control and Freedom engages the rich philosophical tradition of light as a figure for knowledge, clarifica tion, surveillance, and discipline, in order to argue that fiber-optic networks physically instantiate, and thus shatter, enlightenment.

  • PersonSpecific Characteristic Feature Selection for Face Recognition

    This chapter contains sections titled: * Introduction * Face Recognition in Humans * Our Approach to Face Recognition * Feature Extractors * The Learning Algorithm * Methodology * Results * Conclusions and Future Work * References

  • The Teradata SQL3 Multimedia Database Server

    Multimedia applications¿¿-¿¿such as fingerprint matching, signature verification, face recognition, and speech recognition or translation¿¿-¿¿require complex abstract data-type support within database management systems. However, conventional databases are not designed to support multimedia. In this chapter, we describe several multimedia database challenges and explain how Teradata solves these problems with its SQL3 Multimedia Database system. A key component of this system is the Multimedia Object Manager, a general-purpose content-based multimedia server designed for the symmetric multiprocessor (SMP) and massively parallel processor (MPP) environments. The Teradata SQL3 Multimedia Database system allows users to define and manipulate user-defined functions (UDFs), which are invoked in parallel in the Multimedia Object Manager to analyze/manipulate the contents of multimedia objects. The two key characteristics of this subsystem are its support for content-based retrieval and multimodal integration. We provide an in-depth analysis of retrieval techniques using feature extraction and spatial indices. We also illustrate the power of multimodal integration by walking through the development of a complex application involving the generation of a ?>talking agent,?> which uses speech, image, and video data types within the database system.

  • A Biologically Inspired Model for the Simultaneous Recognition of Identity and Expression

    This chapter contains sections titled: * Introduction * Face Recognition * Facial Expression of Emotion * Model of Expression-Variant Processing * Experimental Results: Recognition of Identity * Experimental Results: Recognition of Expression * Recognition of Expression Variant Faces Using Weighted Subspace * Summary * References

  • Non-Volatile In-Memory Computing by Spintronics

    Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storage, logic, and interconnect. As a result, by utilizing spintronics, in- memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book.

  • On Forensic Use of Biometrics

    Forensic science largely concerns the analysis of crime. The science of biometrics has developed approaches that are used to automatically identify individuals by personal characteristics. Biometric techniques have primarily been used to assure identity. The main steps of a biometric recognition approach include: acquisition of the biometric data, localization and alignment of the data, feature extraction, and matching. This chapter concentrates on two case studies discussing the forensic possibilities of face and ear as biometrics. It introduces the manual and computer-aided forensic face recognition. The chapter discusses the disparities between the behaviour of the current automatic face recognition systems and that which is needed for forensic application, and outlines the current progress towards addressing the challenges existing in face recognition. An emerging biometric ear is examined. There is a rich variety of approaches for ear biometrics and these are steeped in pattern recognition and computer vision.

  • Recognition of Humans and Their Activities Using Video

    The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities. In the area of face recognition, we start with the traditional methods for image-based analysis and then describe some of the more recent developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination. We note that the main challenge facing researchers in this area is the development of recognition strategies that are robust to changes due to pose, illumination, disguise, and a ing. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in this area is to automatically extract the parameters for representation of human gait. We describe some of the techniques that have been developed for this purpose, most of which are appearance based. We also highlight the challenges involved in dealing with changes in viewpoint and propose methods based on image synthesis, visual hull, and 3D models. In the domain of human activity recognition, we present an extensive survey of various methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision. We then outline our method for modeling complex activities using 2D and 3D deformable shape theory. The wide application of automatic human identification and activity recognition methods will require the fusio of different modalities like face and gait, dealing with the problems of pose and illumination variations, and accurate computation of 3D models. The last chapter of this lecture deals with these areas of future research.

  • Multimodal Biometrics Based on NearInfrared Face Recognition

    This chapter contains sections titled: * Introduction * NIR Face-Based Multibiometrics * Method of Multibiometrics Fusion * Experiments * Conclusions * Acknowledgments * References



Standards related to Face Recognition

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Jobs related to Face Recognition

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