Visual perception

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Visual perception is the ability to interpret information and surroundings from the effects of visible light reaching the eye. The resulting perception is also known as eyesight, sight, or vision . (Wikipedia.org)






Conferences related to Visual perception

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 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 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


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)


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Periodicals related to Visual perception

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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-- ...


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


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Most published Xplore authors for Visual perception

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Xplore Articles related to Visual perception

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SAR/IR sensor image fusion and real-time implementation

Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, 1995

This paper presents a real time SAR/IR fusion system for automatic target recognition (ATR) applications. The system contains three major components: preprocessing, registration and fusion. The registration algorithm is based on Zheng-Chellappa's (see IEEE Transactions on Image Processing, no.7, p.311, 1993) APFBR work. The fusion algorithm employs a biologically inspired merging rule to carry out SAR/IR fusion at the pixel ...


Motion understanding from qualitative visual dynamics

[1993] Proceedings IEEE Workshop on Qualitative Vision, 1993

In many situations, motion is naturally grasped as an ordered sequence of poses, expressing stages in a general development. Capturing the underlying dynamics is an important first step for gaining insight and constructing a representation that has expressive power. The authors compute a pose function for a motion that qualitatively characterizes it in terms of dynamics. The study is based ...


Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment

IEEE Transactions on Visualization and Computer Graphics, None

Visual analysis of multidimensional data requires effective ways to reduce data dimensionality to encode them visually. Multidimensional projections (MDP) figure among the most important visualization techniques in this context, transforming multidimensional data into scatter plots where patterns reflect some notion of similarity in the data. However, MDP come with distortions that make visual patterns not trustworthy. Moreover, the patterns present ...


Hybrid Saliency Detection for Images

IEEE Signal Processing Letters, 2013

Saliency information interpreted from the visual stimuli can predict the attentional behaviour of human perception, thus playing a key role in visual signal processing. In this letter, we present a hybrid saliency detection method for images by which we automatically predict the saliency regions based on low-level and high-level cues. Unlike existing bottom-up and top-down attentional methods, we consider the ...


Virtual reality as a complex interactive system: a multidimensional model of person artificial partner co-relations

Proceedings Seventh International Conference on Virtual Systems and Multimedia, 2001

The operational definition of virtual reality as a complex interactive system (CIS) represents it as a configuration of exchanges between a person and a digital world mediated by the artificial, partner. The adequate model for understanding the essence of CIS includes, in addition to three 'traditional' dimensions (physical-per-se, mental, and virtual), a fourth dimension defined as individual self-determination and formed ...


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Educational Resources on Visual perception

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IEEE-USA E-Books

  • SAR/IR sensor image fusion and real-time implementation

    This paper presents a real time SAR/IR fusion system for automatic target recognition (ATR) applications. The system contains three major components: preprocessing, registration and fusion. The registration algorithm is based on Zheng-Chellappa's (see IEEE Transactions on Image Processing, no.7, p.311, 1993) APFBR work. The fusion algorithm employs a biologically inspired merging rule to carry out SAR/IR fusion at the pixel level. In the fused images, features from individual sensor images are not only preserved but also enhanced. The fused images are more suitable for visual perception and ATR operations. The system has been implemented on a SIMD parallel processor to achieve real-time performance. It has been extensively tested on real SAR/IR data.

  • Motion understanding from qualitative visual dynamics

    In many situations, motion is naturally grasped as an ordered sequence of poses, expressing stages in a general development. Capturing the underlying dynamics is an important first step for gaining insight and constructing a representation that has expressive power. The authors compute a pose function for a motion that qualitatively characterizes it in terms of dynamics. The study is based in dynamic systems analysis, constructing the function in phase space-a geometric depiction of the observed behaviour. The analysis itself is geometrical, but yields a representation of the visual dynamics. The global component of the pose function is an expression of external forces, and the local component and expression of deformation. The computation is simple, making only few general assumptions. The function captures all the relevant parameters of the motion in the sense that a qualitative simulation of the behavior is made possible, thus, facilitating subsequent reasoning about observed events.<<ETX>>

  • Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment

    Visual analysis of multidimensional data requires effective ways to reduce data dimensionality to encode them visually. Multidimensional projections (MDP) figure among the most important visualization techniques in this context, transforming multidimensional data into scatter plots where patterns reflect some notion of similarity in the data. However, MDP come with distortions that make visual patterns not trustworthy. Moreover, the patterns present in scatter plots might not be enough to allow an understanding of multidimensional data, motivating the development of layout enrichment methodologies that operate with MDP. This survey attempts to cover the main aspects of MDP as a visualization and visual analytic tool, providing detailed analysis and taxonomies taht organize MDP techniques according to their main properties and traits. The survey also approaches the different types of distortions that can result from MDP mappings while overviewing existing mechanisms to quantitatively evaluate such distortions. A qualitative analysis of the impact of distortions on the different analytic tasks is also presented, providing guidelines for users to choose a proper MDP for an intended. Finally, layout enrichment schemes to debunk MDP distortions and/or reveal relevant information not directly inferable from the scatter plot are reviewed and discussed in the light of new taxonomies.

  • Hybrid Saliency Detection for Images

    Saliency information interpreted from the visual stimuli can predict the attentional behaviour of human perception, thus playing a key role in visual signal processing. In this letter, we present a hybrid saliency detection method for images by which we automatically predict the saliency regions based on low-level and high-level cues. Unlike existing bottom-up and top-down attentional methods, we consider the high-level cue imposed by the photographer. Based on this assumption, we estimate the defocus map of the image and integrate it with other low-level features based on the Bayesian framework. We compare our algorithm to several state-of-the-art saliency detection methods based on the well-known 1000 image EPFL database, and demonstrate the superior performance of our proposed algorithm.

  • Virtual reality as a complex interactive system: a multidimensional model of person artificial partner co-relations

    The operational definition of virtual reality as a complex interactive system (CIS) represents it as a configuration of exchanges between a person and a digital world mediated by the artificial, partner. The adequate model for understanding the essence of CIS includes, in addition to three 'traditional' dimensions (physical-per-se, mental, and virtual), a fourth dimension defined as individual self-determination and formed by one's needs, preferences, profile of imagination, identities, and individual experiences. The analysis of 'person-artificial agent' interactions in the context of a complex systems approach is associated with the implementation of such interaction effects as compensation, optimization, adequacy, and effectiveness. Virtual entertainment can be viewed not only as a part of modern popular culture but also as a tool for constructive activities. The latter, employed by certain groups of users, can not only enhance their life as an enjoyment but also as training tool for sensory-motor, cognitive and emotional improvement, and their well-being in general.

  • Micromachined electrodes for retinal prostheses

    High-resolution retinal prosthetic systems need high-density stimulation electrodes to restore the vision of blind patients suffering from retinitis pigmentosa or macular degeneration. Micromachining electrodes to obtain high- aspect-ratio features can increase the area of the electrodes. A process has been developed to obtain high-aspect-ratio microstructures by plating on the sidewall of recently developed photoresist. A quadrupling of the effective area of the electrode surface has been achieved with modest micromachining and could translate into an improvement in visual resolution. A remaining issue is reducing irreversible electrochemical reactions at the electrode.

  • Measure and analysis of a gaze position using infrared light technique

    We are interested in identifying the object or area that attracts the subject's attention in images. A computer system is developed to measure and analyze the eye position. Eye movements are recorded using an infrared light device. Our interest is concentrated mainly on the calibration of the system, more precisely, on the correction of measured data according to user's characteristics. Higher polynomial transformation is used to model the mapping between eye coordinates and image coordinates. The mean quadratic error criteria is used. This paper presents how our model works to correct the non- linearities in the oculomotor system for individual subject's eyes. It also proposes a method to correct head movements.

  • Eating with Eyes: Assessing the Importance of the Visual Perception of Consumers

    Purchasing behavior is a kind of consuming behavior caused by visual stimulation of and attraction to a consumer. In other words, consumers are visual creatures. Although existing literature has explored the influences of the senses and perception on purchasing behavior, there is very little literature deeply exploring the influence of the visual sense on dish preferences in the catering industry. This study adopted purposive sampling and importance-performance analysis. A total of 38 questionnaires were collected, and Excel 2013 was used to analyze the influences of consumers' visual preferences on their levels of love for a dish. The study results show proper color matching can effectively increase the purchase behavior of consumers. The important preference factors include color contrast, harmony, shape matching, and the space design between food and receptacle. The study results can be used as references for the operational practices of the catering industry, and as an academic basis for subsequent studies on food aesthetics by researchers and teachers.

  • Filtering color images in the xyY color space

    This paper presents a new approach to color filtering which operates on the representation of an image in the xyY color space. The filtering scheme, aided by the color mixing rule which applies to the 2D chromatic subspace spanned by the x and y coordinates, is shown to preserve the convexity of the chromatic information. Some examples of lowpass filtering with the new technique are reported.

  • An Efficient Quick Algorithm for Computing Stable Skeletons

    A new method to obtain high quality skeletons of binary shapes is proposed in this paper. First, a small set of salient contour points is computed by Discrete Curve Evolution (DCE). These salient points are the stable endpoints of the skeleton. Second, the skeleton is grown between pairs of the endpoints. Examining every eight-connected point of the current skeleton points, Select the point, that have equal distance to the contour parts which are partitioned by the two endpoints, as the new skeleton point. The skeleton path continues growing in this way until it reaches the other endpoint or another skeleton branch. The main idea is that the skeleton points are always the center of the maximal disks, and the endpoints of the skeleton are those contour points with high global curvature which is stable to noise and shape variations. The obtained skeletons are in accord with human visual perception and stable, also connected and one pixel thick. They do not require any pruning or any other postprocessing. The experimental results clearly demonstrate that the proposed method significantly outperforms other well-known methods for skeleton computation.



Standards related to Visual perception

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