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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The catchment feature model for multimodal language analysis

F. Quek Proceedings Ninth IEEE International Conference on Computer Vision, 2003

The catchment feature model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communication, and how information from the different modes may be fused. We discuss the need for our model, motivate the CFM from psycholinguistic research, and present the model. In contrast to 'whole gesture' recognition, the ...


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 ...


Development of the anthropomorphic head-eye robot WE-3RII with an autonomous facial expression mechanism

A. Takanishi; H. Takanobu; I. Kato; T. Umetsu Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), 1999

The authors have been developing anthropomorphic head-eye robots, in order to elucidate the human vision system from an engineering point of view, and to develop a new head mechanism and function for a humanoid robot having the ability to communicate naturally with a human. We developed the anthropomorphic head-eye robot "WE-3RII" (Waseda Eye No.3 Refined II), with eyes, eyelids, eyebrows, ...


Toward kinship verification using visual attributes

Siyu Xia; Ming Shao; Yun Fu Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2012

In this paper, we consider the kinship verification problem through face images. Genetics studies show resemblant regions on faces among immediate family members are mostly concentrated on eyes, nose, mouth, etc. This motivates us the following research. First, we construct low-level features based on the hierarchical local regions. Second, an attribute based method is proposed towards meaningful middle-level representations for ...


Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition

Konstantinos Bousmalis; Louis-Philippe Morency; Maja Pantic Face and Gesture 2011, 2011

This paper attempts to recognize spontaneous agreement and disagreement based only on nonverbal multi-modal cues. Related work has mainly used verbal and prosodic cues. We demonstrate that it is possible to correctly recognize agreement and disagreement without the use of verbal context (i.e. words, syntax). We propose to explicitly model the complex hidden dynamics of the multimodal cues using a ...


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Educational Resources on Eyebrows

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eLearning

The catchment feature model for multimodal language analysis

F. Quek Proceedings Ninth IEEE International Conference on Computer Vision, 2003

The catchment feature model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communication, and how information from the different modes may be fused. We discuss the need for our model, motivate the CFM from psycholinguistic research, and present the model. In contrast to 'whole gesture' recognition, the ...


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 ...


Development of the anthropomorphic head-eye robot WE-3RII with an autonomous facial expression mechanism

A. Takanishi; H. Takanobu; I. Kato; T. Umetsu Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), 1999

The authors have been developing anthropomorphic head-eye robots, in order to elucidate the human vision system from an engineering point of view, and to develop a new head mechanism and function for a humanoid robot having the ability to communicate naturally with a human. We developed the anthropomorphic head-eye robot "WE-3RII" (Waseda Eye No.3 Refined II), with eyes, eyelids, eyebrows, ...


Toward kinship verification using visual attributes

Siyu Xia; Ming Shao; Yun Fu Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2012

In this paper, we consider the kinship verification problem through face images. Genetics studies show resemblant regions on faces among immediate family members are mostly concentrated on eyes, nose, mouth, etc. This motivates us the following research. First, we construct low-level features based on the hierarchical local regions. Second, an attribute based method is proposed towards meaningful middle-level representations for ...


Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition

Konstantinos Bousmalis; Louis-Philippe Morency; Maja Pantic Face and Gesture 2011, 2011

This paper attempts to recognize spontaneous agreement and disagreement based only on nonverbal multi-modal cues. Related work has mainly used verbal and prosodic cues. We demonstrate that it is possible to correctly recognize agreement and disagreement without the use of verbal context (i.e. words, syntax). We propose to explicitly model the complex hidden dynamics of the multimodal cues using 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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