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, ...




Xplore Articles related to Eyebrows

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An efficient system for recognition of human face in different expressions by some measured features of the face using laplacian operator

Abu Shamim Mohammad Arif; G. M. Atiqur Rahaman; Gautam Kumar Biswas; Syed Nurul Islam 2008 11th International Conference on Computer and Information Technology, 2008

In this paper we present an efficient system for face recognition with high recognition rate. In our proposed method, at first we detect the face from an image, then two main significant edge lines - chin-line and nose-line are determined and next we apply third order polynomial regression on these two lines to get a third order polynomial equation with ...


Notice of Retraction<BR>Emotion recognition based on CSO&amp;SVM in e-learning

Wansen Wang; Jiabin Wu 2011 Seventh International Conference on Natural Computation, 2011

Notice of Retraction After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. The presenting author of this paper ...


Contactless detection of facial signs related to stress: A preliminary study

Dimitris Manousos; Galateia Iatraki; Eirini Christinaki; Matthew Pediaditis; Franco Chiarugi; Manolis Tsiknakis; Kostas Marias 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), 2014

This paper presents a contactless methodology for detecting facial signs related to stress. A brief literature review shows that there are specific facial signs that are related to stressful conditions. A methodology based on computer vision techniques applied to color videos in order to extract facial signs such as movement (head), eyebrow lowering and raising, and blink rate is presented. ...


Eyebrows localization for expression analysis

Laura Florea; Raluca Boia 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011

Automatic detection of human face features plays a significant role in expression recognition and human computer interaction. Human eyebrows shape has good specificity and stability, hence precise localization outlines a series of threads for face expression analysis. This paper will introduce a simple method for eyebrow localization. The determined positions allow geometrical extraction of the upper face area, which will ...


Automatic FDP/FAP generation from an image sequence

Jin-Woo Kim; Munjae Song; Ig-Jae Kim; Yong-Moo Kwon; Hyoung-Gon Kim; Sang Chul Ahn 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2000

This paper presents an automatic FDP (Facial Definition Parameters) and FAP (Facial Animation Parameters) generation method from an image sequence that captures a frontal face. The proposed method is based on facial feature tracking without markers on a face. We present an efficient method to extract 2D facial features and to generate the FDP by applying 2D features to a ...


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Educational Resources on Eyebrows

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eLearning

An efficient system for recognition of human face in different expressions by some measured features of the face using laplacian operator

Abu Shamim Mohammad Arif; G. M. Atiqur Rahaman; Gautam Kumar Biswas; Syed Nurul Islam 2008 11th International Conference on Computer and Information Technology, 2008

In this paper we present an efficient system for face recognition with high recognition rate. In our proposed method, at first we detect the face from an image, then two main significant edge lines - chin-line and nose-line are determined and next we apply third order polynomial regression on these two lines to get a third order polynomial equation with ...


Notice of Retraction<BR>Emotion recognition based on CSO&amp;SVM in e-learning

Wansen Wang; Jiabin Wu 2011 Seventh International Conference on Natural Computation, 2011

Notice of Retraction After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. The presenting author of this paper ...


Contactless detection of facial signs related to stress: A preliminary study

Dimitris Manousos; Galateia Iatraki; Eirini Christinaki; Matthew Pediaditis; Franco Chiarugi; Manolis Tsiknakis; Kostas Marias 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), 2014

This paper presents a contactless methodology for detecting facial signs related to stress. A brief literature review shows that there are specific facial signs that are related to stressful conditions. A methodology based on computer vision techniques applied to color videos in order to extract facial signs such as movement (head), eyebrow lowering and raising, and blink rate is presented. ...


Eyebrows localization for expression analysis

Laura Florea; Raluca Boia 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011

Automatic detection of human face features plays a significant role in expression recognition and human computer interaction. Human eyebrows shape has good specificity and stability, hence precise localization outlines a series of threads for face expression analysis. This paper will introduce a simple method for eyebrow localization. The determined positions allow geometrical extraction of the upper face area, which will ...


Automatic FDP/FAP generation from an image sequence

Jin-Woo Kim; Munjae Song; Ig-Jae Kim; Yong-Moo Kwon; Hyoung-Gon Kim; Sang Chul Ahn 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2000

This paper presents an automatic FDP (Facial Definition Parameters) and FAP (Facial Animation Parameters) generation method from an image sequence that captures a frontal face. The proposed method is based on facial feature tracking without markers on a face. We present an efficient method to extract 2D facial features and to generate the FDP by applying 2D features to a ...


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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.



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