Conferences related to Face Recognition

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2016 IEEE International Conference on Image Processing (ICIP)

Signal processing, image processing, biomedical imaging, multimedia, video, multidemensional.


2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)

The IEEE conference on Automatic Face and Gesture Recognition is the premier international forum for research in image and video- based face, gesture, and body movement recognition. Its broad scope includes advances in fundamental computer vision, pattern recognition, computer graphics, and machine learning techniques relevant to face, gesture, and body action, new algorithms, and analysis of specific applications. The program will be single- track with poster sessions. Submissions will be rigorously reviewed and should clearly make the case for a documented improvement over the existing state of the art.


2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)

The conference will address, but is not limited to, the following topics:• Computational and psychological models of emotion;• Affect in arts entertainment and multimedia;• Bodily manifestations of affect (facial expressions, posture, behavior, physiology);• Databases for emotion processing, development and issues;• Affective interfaces and applications (games, learning, dialogue systems…);• Ecological and continuous emotion assessment;• Affect in social interactions.

  • 2009 3rd International Conference on Affective Computing and Intelligent Interaction (ACII 2009)

    The conference series on Affective Computing and Intelligent Interaction is the premier international forum for state of the art in research on affective and multi modal human-machine interaction and systems. Every other year the ACII conference plays an important role in shaping related scientific, academic, and higher education programs. This year, we are especially soliciting papers discussing Enabling Behavioral and Socially-Aware Human-Machine Interfaces in areas including psychology.


2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI)

ICEMI is invited authors to submit original papers in any but not limited as following areas: Science Foundation of Instrument and Measurement Innovative Designing of Instrument and Test System Applications on Instrument and Testing Signal & Image Processing Sensor and Non-electric Measurement Communication and Network Test Systems Control Theory and Application Condition Monitoring, Fault Diagnosis and Prediction Other Relevant Theories and Technologies

  • 2011 IEEE 10th International Conference on Electronic Measurement & Instruments (ICEMI)

    ICEMI is the world s premier conference dedicated to the electronic test of devices, boards and systems covering the complete cycle from design verification, test, diagnosis, failure analysis and back to process and design improvement, and is convened every two years. The purpose of the ICEMI is to provide excellent opportunities for scientists, engineers, and participants throughout the world to present the latest research results and to exchange their views or experience.

  • 2009 9th International Conference on Electronic Measurement & Instruments (ICEMI 2009)

    Science Foundation of Instrument and Measurement Instrument, Measurement and Test Technology: Sensing Technology and Transducer Designing of Instrument and Test System Applications on Instrument and Testing: Communication and Network Test Systems Control Theory and Application


2013 International Carnahan Conference on Security Technology (ICCST)

This international conference is a forum for all aspects of physical, cyber and electronic security research, development, systems engineering, testing, evaluation, operations and sustainability. The ICCST facilitates the exchange of ideas and information.

  • 2012 IEEE International Carnahan Conference on Security Technology (ICCST)

    Research, development, and user aspects of security technology, including principles of operation, applications, and user experiences.

  • 2011 International Carnahan Conference on Security Technology (ICCST)

    This annual conference is the world s longest -running, international technical symposium on security technology. This conference is a forum for collaboration on all aspects of physical, cyber and electronic security research, development, systems engineering, testing, evaluation, operations and sustainment. The ICCST facilitates the exchange of ideas and sharing of information on both new and existing technology and systems. Conference participants are encouraged to consider the impact of their work on society. The ICCST provides a foundation for support to authorities and agencies responsible for security, safety and law enforcement in the use of available and future technology.

  • 2010 IEEE International Carnahan Conference on Security Technology (ICCST)

    The ICCST is a forum for researchers and practitioners in both new and existing security technology, providing an interchange of knowledge through paper presentations and publication of proceedings that have been selected by the ICCST organizing committee.

  • 2009 International Carnahan Conference on Security Technology (ICCST)

    Conference is directed toward research and development and user aspects of electronic security technology.

  • 2008 International Carnahan Conference on Security Technology (ICCST)

    The ICCST is directed toward the research and development aspects of electronic security technology, including the operational testing of the technology. It establishes a forum for the exchange of ideas and dissemination of information on both new and existing technology. Conference participants are stimulated to consider the impact of their work on society. The Conference is an interchange of knowledge through the presentation of learned papers that have been selected by the ICCST organizing committee.

  • 2007 IEEE International Carnahan Conference on Security Technology (ICCST)

  • 2006 IEEE International Carnahan Conference on Security Technology (ICCST)


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Periodicals related to Face Recognition

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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.


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...



Most published Xplore authors for Face Recognition

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Xplore Articles related to Face Recognition

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Performance Improvement of Face Recognition System by Decomposition of Local Features Using Discrete Wavelet Transforms

Neelamma K. Patil; S. Vasudha; Lokesh R. Boregowda 2013 International Symposium on Electronic System Design, 2013

As one of the most sought after applications of image analysis, face recognition has received significant attention, especially during the past two decades. Automatic human face recognition has received substantial attention in the recent few years, from researchers in biometrics, pattern recognition and computer vision communities, owing to the high demand for advanced security and authentication needs. Although the existing ...


Facial Tracking for an Emotion-Diagnosis Robot to Support E-Learning

Kiyoshi Nosu; Tomoya Kurokawa 2006 International Conference on Machine Learning and Cybernetics, 2006

There have been a lot of researches on the detection/estimation of human emotions from facial expressions. However, most of them have extracted facial features for some specific emotions from the still pictures of artificial actions or performances. This paper describes facial tracking for e-learning support robot which can estimate a emotion of e-learning user from his/her facial expression in real-time; ...


Handwritten Bangla numeral recognition using Local Binary Pattern

Tasnuva Hassan; Haider Adnan Khan 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2015

Local Binary Pattern (LBP) is a simple yet robust texture descriptor that has been widely used in many computer vision applications including face recognition. In this paper, we exploit LBP for handwritten Bangla numeral recognition. We classify Bangla digits from their LBP histograms using K Nearest Neighbors (KNN) classifier. The performance of three different variations of LBP - the basic ...


Locating Facial Landmarks towards Plastic Surgery

Ricardo Teles Freitas; Kelson Rômulo Teixeira Aires; Victor Eulálio Sousa Campelo 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015

The improvement of digital cameras and computers' processing capabilities have made applicable the solutions of a wide range of problems regarding image processing and computer vision. Among the most interesting tasks in this field of expertise, there are several face related problems. Many works have been proposed to solve problems such as face recognition, expression and age estimation, facial reconstruction, ...


Visyllable-specific facial transition motion embedding and extraction

Yuru Pei; Hongbin Zha 2009 16th IEEE International Conference on Image Processing (ICIP), 2009

The visual facial appearances are important to the speaking perception. The effective and reasonable extraction of the transition motions between the keyframes is desirable to the facial speech animation. In this paper, we present the visyllable-specific transition motion embedding with the temporal extension of the Laplacian eigenmaps (TLE). By imposing the temporal constraints, the TLE-based embedding preserves the possible transitions ...


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Educational Resources on Face Recognition

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eLearning

Performance Improvement of Face Recognition System by Decomposition of Local Features Using Discrete Wavelet Transforms

Neelamma K. Patil; S. Vasudha; Lokesh R. Boregowda 2013 International Symposium on Electronic System Design, 2013

As one of the most sought after applications of image analysis, face recognition has received significant attention, especially during the past two decades. Automatic human face recognition has received substantial attention in the recent few years, from researchers in biometrics, pattern recognition and computer vision communities, owing to the high demand for advanced security and authentication needs. Although the existing ...


Facial Tracking for an Emotion-Diagnosis Robot to Support E-Learning

Kiyoshi Nosu; Tomoya Kurokawa 2006 International Conference on Machine Learning and Cybernetics, 2006

There have been a lot of researches on the detection/estimation of human emotions from facial expressions. However, most of them have extracted facial features for some specific emotions from the still pictures of artificial actions or performances. This paper describes facial tracking for e-learning support robot which can estimate a emotion of e-learning user from his/her facial expression in real-time; ...


Handwritten Bangla numeral recognition using Local Binary Pattern

Tasnuva Hassan; Haider Adnan Khan 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2015

Local Binary Pattern (LBP) is a simple yet robust texture descriptor that has been widely used in many computer vision applications including face recognition. In this paper, we exploit LBP for handwritten Bangla numeral recognition. We classify Bangla digits from their LBP histograms using K Nearest Neighbors (KNN) classifier. The performance of three different variations of LBP - the basic ...


Locating Facial Landmarks towards Plastic Surgery

Ricardo Teles Freitas; Kelson Rômulo Teixeira Aires; Victor Eulálio Sousa Campelo 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015

The improvement of digital cameras and computers' processing capabilities have made applicable the solutions of a wide range of problems regarding image processing and computer vision. Among the most interesting tasks in this field of expertise, there are several face related problems. Many works have been proposed to solve problems such as face recognition, expression and age estimation, facial reconstruction, ...


Visyllable-specific facial transition motion embedding and extraction

Yuru Pei; Hongbin Zha 2009 16th IEEE International Conference on Image Processing (ICIP), 2009

The visual facial appearances are important to the speaking perception. The effective and reasonable extraction of the transition motions between the keyframes is desirable to the facial speech animation. In this paper, we present the visyllable-specific transition motion embedding with the temporal extension of the Laplacian eigenmaps (TLE). By imposing the temporal constraints, the TLE-based embedding preserves the possible transitions ...


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IEEE-USA E-Books

  • No title

    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.

  • A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition

    This chapter contains sections titled: Introduction Multilinear Basics Multilinear Discriminant Analysis Empirical Comparison of MLDA Variants on Face Recognition Conclusions Acknowledgments Appendix: Multilinear Decompositions References

  • 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

  • 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

  • Learning Facial Aging Models: A Face Recognition Perspective

    This chapter contains sections titled: Introduction Age Progression during Formative Years Discussions and Conclusions References

  • 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

  • Combining Geometrical and Statistical Models for VideoBased Face Recognition

    This chapter contains sections titled: Introduction Method for Learning GAMs Robust and Efficient Tracking on GAMs Face Recognition from Video Experiment Results Conclusion 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.

  • Pattern Recognition

    This chapter contains sections titled: Learning to Read, Matching Model Granularity, Generative Models, Face Recognition, Speech Recognition, Natural Language Processing and Translation, Combining Multiple Models, Outlier Detection, Dimensionality Reduction, Decision Trees, Active Learning, Learning to Rank, Bayesian Methods

  • No title

    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.



Standards related to Face Recognition

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Jobs related to Face Recognition

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