Conferences related to Eyebrows

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2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchersin robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior,anthropology, and many other fields.

  • 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    The conference serves as the primary annual meeting for researchers in the field of human-robot interaction. The event will include a main papers track and additional sessions for posters, demos, and exhibits. Additionally, the conference program will include a full day of workshops and tutorials running in parallel.

  • 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    This conference focuses on the interaction between humans and robots.

  • 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very bestresearch and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary,reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificialintelligence, organizational behavior, anthropology, and many other fields.

  • 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single-track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics.

  • 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    TOPICS: Robot companions, Lifelike robots, Assistive (health & personal care) robotics, Remote robots, Mixed initiative interaction, Multi-modal interaction, Long-term interaction with robots, Awareness and monitoring of humans, Task allocation and coordination, Autonomy and trust, Robot-team learning, User studies of HRI, Experiments on HRI collaboration, Ethnography and field studies, HRI software architectures

  • 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    * Robot companions * Lifelike robots * Assistive (health & personal care) robotics * Remote robots * Mixed initiative interaction * Multi-modal interaction * Long-term interaction with robots * Awareness and monitoring of humans * Task allocation and coordination * Autonomy and trust * Robot-team learning * User studies of HRI * Experiments on HRI collaboration * Ethnography and field studies * HRI software architectures

  • 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics Individual vs. group HRI

  • 2007 2nd Annual Conference on Human-Robot Interaction (HRI)


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize state­of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.


2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


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Periodicals related to Eyebrows

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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-- ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


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.


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Most published Xplore authors for Eyebrows

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Xplore Articles related to Eyebrows

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Recognition of and reasoning about facial expressions using fuzzy logic

[{u'author_order': 1, u'affiliation': u'Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37272035500', u'full_name': u'A. Ralescu', u'id': 37272035500}, {u'author_order': 2, u'affiliation': u'Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan', u'authorUrl': u'https://ieeexplore.ieee.org/author/37355133200', u'full_name': u'H. Iwamoto', u'id': 37355133200}] Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, 1993

In the study of the linguistic modeling of facial images we have been previously concerned with deriving qualitative descriptions such as "big eyes, long hair" of face components. To enhance this system we extend our approach at deriving higher level, qualitative descriptions. In particular, we focus on describing facial expressions. Our approach is that of qualitative modeling based on fuzzy ...


Eyes location by regional features and knowledge matching for driver fatigue detection

[{u'author_order': 1, u'affiliation': u'School of Information Engineering, University of Science and Technology Beijing, 100083, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37542266300', u'full_name': u'Wang XianMei', u'id': 37542266300}, {u'author_order': 2, u'affiliation': u'School of Information Engineering, University of Science and Technology Beijing, 100083, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37991171900', u'full_name': u'Chi JianNan', u'id': 37991171900}, {u'author_order': 3, u'affiliation': u'School of Information Engineering, University of Science and Technology Beijing, 100083, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37393762300', u'full_name': u'Wang ZhiLiang', u'id': 37393762300}] 2009 Chinese Control and Decision Conference, 2009

This paper presents a novel method for driver's eyes location by combining the regional features and knowledge matching technology. First, the eyes candidates are obtained by the driver's skin color. Then the geometry, gray and location features are used to get the rough location. Finally, the prior knowledge of face structure is employed to decide the precise location. The experimental ...


An Approach for Quantitative Evaluation of the Degree of Facial Paralysis Based on Salient Point Detection

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37268623300', u'full_name': u'Junyu Dong', u'id': 37268623300}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37655087000', u'full_name': u'Lijing Ma', u'id': 37655087000}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37654643800', u'full_name': u'Qingqiang Li', u'id': 37654643800}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37406376700', u'full_name': u'Shengke Wang', u'id': 37406376700}, {u'author_order': 5, u'authorUrl': u'https://ieeexplore.ieee.org/author/37406787500', u'full_name': u'Li-an Liu', u'id': 37406787500}, {u'author_order': 6, u'authorUrl': u'https://ieeexplore.ieee.org/author/37655871100', u'full_name': u'Yang Lin', u'id': 37655871100}, {u'author_order': 7, u'authorUrl': u'https://ieeexplore.ieee.org/author/37401046100', u'full_name': u'Muwei Jian', u'id': 37401046100}] 2008 International Symposium on Intelligent Information Technology Application Workshops, 2008

Facial paralysis can be on one or both sides of face and one side is much more common. This disease can impose significant psychological and functional impairment to patients. Traditionally, patients with facial paralysis are evaluated and examined by physicians based on manually measurement of certain difference between the two facial sides. In this paper, we describe a new approach ...


Natural changing of emotional expression by considering correlation of behavior history

[{u'author_order': 1, u'affiliation': u'Department of Applied Robot Technology, Convergent Technology R&D Division, Korea Institute of Industrial Technology, 1271-18, Sa-3-dong, Sangrok-gu, Ansan 426-910, Republic of Korea', u'authorUrl': u'https://ieeexplore.ieee.org/author/38188012600', u'full_name': u'Ho Seok Ahn', u'id': 38188012600}, {u'author_order': 2, u'affiliation': u'Department of Applied Robot Technology, Convergent Technology R&D Division, Korea Institute of Industrial Technology, 1271-18, Sa-3-dong, Sangrok-gu, Ansan 426-910, Republic of Korea', u'authorUrl': u'https://ieeexplore.ieee.org/author/37615925500', u'full_name': u'Jin Young Choi', u'id': 37615925500}, {u'author_order': 3, u'affiliation': u'Department of Applied Robot Technology, Convergent Technology R&D Division, Korea Institute of Industrial Technology, 1271-18, Sa-3-dong, Sangrok-gu, Ansan 426-910, Republic of Korea', u'authorUrl': u'https://ieeexplore.ieee.org/author/37880575500', u'full_name': u'Dong-Wook Lee', u'id': 37880575500}, {u'author_order': 4, u'affiliation': u'Department of Applied Robot Technology, Convergent Technology R&D Division, Korea Institute of Industrial Technology, 1271-18, Sa-3-dong, Sangrok-gu, Ansan 426-910, Republic of Korea', u'authorUrl': u'https://ieeexplore.ieee.org/author/37592448200', u'full_name': u'Woong Hee Shon', u'id': 37592448200}] 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 2011

This paper presents a novel method for natural changing of emotional expression. Although formal behavior generation method using the simulated annealing algorithm selects various behaviors, there are weak correlations among behavior history. To make strong correlations, we restrict the randomness of the simulated annealing algorithm. This method sifts unapt candidate behavior combinations out by considering the previous behavior combinations and ...


Manipulation of remote 3D Avatar through facial feature detection and real time tracking

[{u'author_order': 1, u'affiliation': u'National University of Singapore', u'authorUrl': u'https://ieeexplore.ieee.org/author/38199924300', u'full_name': u'Wang Hee Lin', u'id': 38199924300}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37283307500', u'full_name': u'K. Sengupta', u'id': 37283307500}] IEEE International Conference on Multimedia and Expo, 2001. ICME 2001., 2001

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  • 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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