IEEE Organizations related to Eyebrows

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Conferences related to Eyebrows

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2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.


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.



Periodicals related to Eyebrows

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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-- ...


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.


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 Eyebrows

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Xplore Articles related to Eyebrows

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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; ...


Driver alert state and fatigue detection by salient points analysis

Javier Jiménez-Pinto; Miguel Torres-Torriti 2009 IEEE International Conference on Systems, Man and Cybernetics, 2009

Assessing a driver's state of awarness and fatigue is especially important to reduce the number of traffic accidents often involving bus and truck drivers, who must work during several hours under monotonous road conditions. Two main challenges arise in resolving the state of alert: first, the system must be capable of detecting the driver's face location; secondly, the driver's facial ...


Dealing with occlusions in face recognition by region-based fusion

Ester Gonzalez-Sosa; Ruben Vera-Rodriguez; Julian Fierrez; Javier Ortega-García 2016 IEEE International Carnahan Conference on Security Technology (ICCST), 2016

The last research efforts made in the face recognition community have been focusing in improving the robustness of systems under different variability conditions like change of pose, expression, illumination, low resolution and occlusions. Occlusions are also a manner of evading identification, which is commonly used when committing crimes or thefts. In this work we propose an approach based on the ...


A novel approach of eye movement and LExpression

Qi Huang; Yang-yu Fan; Tao Lei 2010 2nd International Conference on Future Computer and Communication, 2010

In order to create natural eye movement and expression, a novel approach was presented. In this method, for a smooth effect, the 3D grid region of the eyelids was divided into two parts: the boundary points and the non-boundary points. The boundary points are controlled by Oscillating Guard Bar Mechanism, which affect the non-boundary points by RBF (radial basis function) ...


On the development of a low-cost EMG switch for communication using minimal muscle contractions

Begoña García-Conde; Christopher J. James 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016

In the final stages of muscle-wasting diseases like Amyotrophic Lateral Sclerosis and in extreme cases of disability the control of muscles is almost completely lost. However, in some cases there can be almost imperceptible residual control of some muscles. This paper presents the results of a study using an affordable, lightweight, portable EMG switch that has been designed in-house for ...


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Educational Resources on Eyebrows

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eLearning

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; ...


Driver alert state and fatigue detection by salient points analysis

Javier Jiménez-Pinto; Miguel Torres-Torriti 2009 IEEE International Conference on Systems, Man and Cybernetics, 2009

Assessing a driver's state of awarness and fatigue is especially important to reduce the number of traffic accidents often involving bus and truck drivers, who must work during several hours under monotonous road conditions. Two main challenges arise in resolving the state of alert: first, the system must be capable of detecting the driver's face location; secondly, the driver's facial ...


Dealing with occlusions in face recognition by region-based fusion

Ester Gonzalez-Sosa; Ruben Vera-Rodriguez; Julian Fierrez; Javier Ortega-García 2016 IEEE International Carnahan Conference on Security Technology (ICCST), 2016

The last research efforts made in the face recognition community have been focusing in improving the robustness of systems under different variability conditions like change of pose, expression, illumination, low resolution and occlusions. Occlusions are also a manner of evading identification, which is commonly used when committing crimes or thefts. In this work we propose an approach based on the ...


A novel approach of eye movement and LExpression

Qi Huang; Yang-yu Fan; Tao Lei 2010 2nd International Conference on Future Computer and Communication, 2010

In order to create natural eye movement and expression, a novel approach was presented. In this method, for a smooth effect, the 3D grid region of the eyelids was divided into two parts: the boundary points and the non-boundary points. The boundary points are controlled by Oscillating Guard Bar Mechanism, which affect the non-boundary points by RBF (radial basis function) ...


On the development of a low-cost EMG switch for communication using minimal muscle contractions

Begoña García-Conde; Christopher J. James 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016

In the final stages of muscle-wasting diseases like Amyotrophic Lateral Sclerosis and in extreme cases of disability the control of muscles is almost completely lost. However, in some cases there can be almost imperceptible residual control of some muscles. This paper presents the results of a study using an affordable, lightweight, portable EMG switch that has been designed in-house for ...


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IEEE.tv Videos

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IEEE-USA E-Books

  • Clustering appearance and shape by learning jigsaws

    Patch-based appearance models are used in a wide range of computer vision applications. To learn such models it has previously been necessary to specify a suitable set of patch sizes and shapes by hand. In the jigsaw model presented here, the shape, size and appearance of patches are learned automatically from the repeated structures in a set of training images. By learning such irregularly shaped 'jigsaw pieces', we are able to discover both the shape and the appearance of object parts without supervision. When applied to face images, for example, the learned jigsaw pieces are surprisingly strongly associated with face parts of different shapes and scales such as eyes, noses, eyebrows and cheeks, to name a few. We conclude that learning the shape of the patch not only improves the accuracy of appearance-based part detection but also allows for shape-based part detection. This enables parts of similar appearance but different shapes to be distinguished; for example, while foreheads and cheeks are both skin colored, they have markedly different shapes.



Standards related to Eyebrows

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