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.


2010 2nd International Conference on Future Computer and Communication (ICFCC 2010)

ICFCC is an annual international forum for state-of-the-art research in Future Computer and Communication. The first ICFCC 2009 was held in Kuala Lumpur, Malaysia during April. 3-5, 2009. The 2010 International Conference on Future Computer and Communication (ICFCC 2010) will be held in Wuhan, China during 21-24 May, 2010. It is one of the leading international conferences for presenting novel and fundamental advances in the fields of Computer and Communication Technology. It also serves to foster communica


2006 International Conference on Machine Learning and Cybernetics (ICMLC)



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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Automatic red-eyes detection based on AAM

Jian Wan; XuePing Ren 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004

Red-eye is a phenomenon that the pupils of people appear unnaturally red when an image is captured using photoflash lamp. There are some algorithms existing for red-eyes detection, but all of them have less accuracy and cannot detect single red-eye. In this paper, a novel approach is proposed to automatically detect red eyes in photos, which is based on active ...


A Proposal of Feeling Automatic Operation Analysis using Facial Chart

Yoshifumi Oyama; Yoshitaka Narita Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007), 2007

In the future, a computer will reads the tendency of the user's character, and it will be expected to come to fit itself to the user. It is necessary that a computer read the emotion which a testee has from the testee's expression to build such a system. Final purpose of this research is the development of the system that ...


Estimation of gazing points in environment using eye tracker and omnidirectional camera

Shun Chiba; Tomo Miyazaki; Yoshihiro Sugaya; Shinichiro Omachi 2015 IEEE International Conference on Consumer Electronics - Taiwan, 2015

In this work, we propose a method for estimating the user's gazing point in the environment using images taken by an eye tracker and an omnidirectional camera. The proposed method estimates the eye positon in environment by mapping the gazing point obtained by the eye tracker in the omnidirectional camera image. However, matching the omnidirectional image and the eye tracker ...


Face robot-toward realtime-rich facial expressions

H. Kobayashi; Y. Ichikawa; T. Tsuji Proceedings 10th IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2001 (Cat. No.01TH8591), 2001

We do not know yet whether human-like face and facial expressions are necessary for robots and because to realize them is an engineering challenge and we want to express, realize and analyze the sensitive human-robot communication especially through facial expressions, we have been developing a series of face robots. In 1993, we built the first one and realized 6 typical ...


System and method for recognizing human emotion state based on analysis of speech and facial feature extraction; applications to human-robot interaction

Mohammad Rabiei; Alessandro Gasparetto 2016 4th International Conference on Robotics and Mechatronics (ICROM), 2016

Humanoid robot and Artificial Intelligence make a proper mutual communication to interact with ordinary people. Advanced research in emotional interaction field will be based on the growing understanding, speech recognition and facial expression processes. Software specified for human-robot interaction needs to receive human emotions and optimize their behavior. In this paper, we report the results obtained from an exploratory study ...


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Educational Resources on Eyebrows

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eLearning

Automatic red-eyes detection based on AAM

Jian Wan; XuePing Ren 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004

Red-eye is a phenomenon that the pupils of people appear unnaturally red when an image is captured using photoflash lamp. There are some algorithms existing for red-eyes detection, but all of them have less accuracy and cannot detect single red-eye. In this paper, a novel approach is proposed to automatically detect red eyes in photos, which is based on active ...


A Proposal of Feeling Automatic Operation Analysis using Facial Chart

Yoshifumi Oyama; Yoshitaka Narita Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007), 2007

In the future, a computer will reads the tendency of the user's character, and it will be expected to come to fit itself to the user. It is necessary that a computer read the emotion which a testee has from the testee's expression to build such a system. Final purpose of this research is the development of the system that ...


Estimation of gazing points in environment using eye tracker and omnidirectional camera

Shun Chiba; Tomo Miyazaki; Yoshihiro Sugaya; Shinichiro Omachi 2015 IEEE International Conference on Consumer Electronics - Taiwan, 2015

In this work, we propose a method for estimating the user's gazing point in the environment using images taken by an eye tracker and an omnidirectional camera. The proposed method estimates the eye positon in environment by mapping the gazing point obtained by the eye tracker in the omnidirectional camera image. However, matching the omnidirectional image and the eye tracker ...


Face robot-toward realtime-rich facial expressions

H. Kobayashi; Y. Ichikawa; T. Tsuji Proceedings 10th IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2001 (Cat. No.01TH8591), 2001

We do not know yet whether human-like face and facial expressions are necessary for robots and because to realize them is an engineering challenge and we want to express, realize and analyze the sensitive human-robot communication especially through facial expressions, we have been developing a series of face robots. In 1993, we built the first one and realized 6 typical ...


System and method for recognizing human emotion state based on analysis of speech and facial feature extraction; applications to human-robot interaction

Mohammad Rabiei; Alessandro Gasparetto 2016 4th International Conference on Robotics and Mechatronics (ICROM), 2016

Humanoid robot and Artificial Intelligence make a proper mutual communication to interact with ordinary people. Advanced research in emotional interaction field will be based on the growing understanding, speech recognition and facial expression processes. Software specified for human-robot interaction needs to receive human emotions and optimize their behavior. In this paper, we report the results obtained from an exploratory study ...


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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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