A model-based approach for the measurement of eye movements using image processing



Publisher: Lyndon B. Johnson Space Center, Publisher: Available from the NASA Center for Aerospace Information in [Houston, Tex, Linthicum Heights, MD

Written in English
Published: Downloads: 972
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Subjects:

  • Algorithms,
  • Eye movements,
  • Image processing,
  • Pupil size,
  • Optical measurement,
  • Oculomotor nerves,
  • Models

Edition Notes

Other titlesModel based approach for the measurement of eye movements using image processing.
StatementKwangjae Sung, Millard F. Reschke.
SeriesTechnical paper -- 3680., NASA technical paper -- 3680.
ContributionsReschke, Millard F., Lyndon B. Johnson Space Center.
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL17569019M
OCLC/WorldCa39863059

We're upgrading the ACM DL, and would like your input. Please sign up to review new features, functionality and page by: 8. 1 Human Vision Models for Perceptually Optimized Image Processing – A Review Marcus J. Nadenau, Member, IEEE,StefanWinkler,Member, IEEE, David Alleysson and Murat Kunt, Fellow, IEEE Abstract— By taking into account the properties and limita- tions of File Size: KB. A. Kosaka and A. C. Kak, "Fast Vision-Guided Mobile Robot Navigation using Model-Based Reasoning and Prediction of Uncertainties," (Invited Paper) Computer Vision, Graphics, and Image Processing -- Image Understanding, pp. , November Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical es can originate from any bodily motion or state but commonly originate from the face or t [when?] focuses in the field include emotion recognition from face and hand gesture recognition. Users can use simple gestures to control or.

Sixth International Conference on Graphic and Image Processing (ICGIP ) Editor(s): An optimizing processing approach to contrast correction based on nonlinear mapping of windowed tone Author(s): Attitude measurement by using target Schlieren graph and 3D digital model in wind tunnel Author(s). Face image processing has potential applications in surveillance, image and video search, social networking and other domains. A comprehensive guide to this fascinating topic, this book provides a systematic description of modeling face geometry and appearance from images, including information on mathematical tools, physical concepts, image Cited by: 2. Cambridge Core - Phonetics and Phonology - Audiovisual Speech Processing - edited by Gérard Bailly. J. Chen and N. da Vitoria Lobo, Real-time Fluid Modeling using Navier-Stokes Equation, Graphical Models and Image Processing, pp. , March Yu Tian and Mubarak Shah, Motion Estimation and Segmentation, Machine Vision and Applications, Vol. 9, pp. ,

Eye movements and the maturation of cortical orientation selectivity Antonino Casile, Michele Rucci Characterizing Neural Gain Control using Spike-triggered Covariance Odelia Schwartz, E.J. Chichilnisky, Eero P. Simoncelli. Intelligent Human Systems Integration Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI ): Integrating People and Intelligent Systems, February , , San Diego, California, USA Enhancing . clusion, and tracking the body parts along the image sequence. The approaches that have been proposed for tracking a human body can be classified into two groups: model-based approaches and view-based approaches. Refer [1,6] for re-views. Model-based approaches use apriorimodels explicitly defined in terms of kinematics and dynamics. Proc. SPIE , Medical Imaging Image Processing, H (2 March ); doi: / Read Abstract + Introduction: Biomarker computation using deep-learning often relies on a two-step process, where the deep learning algorithm segments the region of interest and then the biomarker is measured.

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A Model-Based Approach for the Measurement of Eye Movements Using Image Processing Kwangjae Sung, Ph.D. Visiting Scientist, University Space Research Association control of eye movements, and these methods have had significant diagnostic value in tests of visual, oculomotor, and vestibular function.

However, a survey of the technical. Get this from a library. A model-based approach for the measurement of eye movements using image processing.

[Kwangjae Sung; Millard F Reschke; Lyndon B. Johnson Space Center.]. Request PDF | Using high-speed photography and image processing for fixational eye movements measurement | As we known the vision system plays a very important role for. Title(s): A model-based approach for the measurement of eye movements using image processing/ K.

Sung, M.F. Reschke. Country of Publication: United States Publisher: Washington, DC: NASA Headquarters, Using Reading Times and Eye-Movements to Measure Cognitive Engagement. image, the eyes do not move smoothly across the page. Eye movements and immediacy of : Brian William Miller. Sung K, Reschke M () A model-based approach for the measurement of eye movements using image processing.

NASA Technical Paper Google Scholar Zhu D, Moore ST, Raphan T () Real-time torsional eye position calculation from video : Andrew H. Clarke. Using the it, a test subject can learn to use the BCI to move a cursor (represented by a horizontal bar) on a computer display by imagining hand or foot movements.

This approach is based on the fact that imagery of the movement of different limbs causes changes in oscillatory EEG activity over sensorimotor areas of the cerebral.

Previous model-based eye-tracking methods using low-resolution eye-images face the difficulty of estimating detailed eye-model parameters. The low-resolution eye-images are too coarse to determine the position of the pupil contour in the image.

Figure 1 (a) shows an example of part of a low-resolution eye-image, especially around the pupil contour. Over different quality contents of FVV, the participants eye-tracker recorded spatio-temporal gaze-data indicate more concentrated eye-traversing approach for relatively better quality.

Thus, we calculate the Length, Angle, Pupil-size, and Gaze-duration features from the recorded gaze : Pallab Kanti Podder, Manoranjan Paul, M. Manzur Murshed. Noninvasive Corneal Image-Based Gaze Measurement System.

08/02/ ∙ by Eunji Chong, et al. ∙ Kyoto University ∙ Georgia Institute of Technology ∙ 0 ∙ share. The infrared model-based eye tracking method presented in this paper is tolerant of both head and devices movements and has PoG estimation accuracy of 1 °.

The method is much more accurate than methods that do not use models to estimate the point of gaze (limbus back projections and measurement of the distance between the center of the iris Cited by: 2. Chapter 27 Eye Movements in the Processing of Print Advertisements Ralph Radach, Stefanie Lemmer, Christian Vorstius, Dieter Heller and Karina Radach Research on the visual processing of advertisements has so far focused on formal aspects such as the relative size of Cited by: A Probabilistic Approach to Online Eye Gaze Tracking Without Explicit Personal Calibration Image Processing, IEEE Transactions on, ; Yongqiang Li, S.

Mohammad Mavadati, Mohammad H. Mahoor, Yongping Zhao and Qiang Ji Measuring the intensity of spontaneous facial action units with dynamic Bayesian network. A geometry model-based approach. Stochastic and deterministic models.

An image date-based approach. The sensor-based approach using the device such as scanning electron microscope, potentially reproduces tactile impressions most precisely but a sensor equivalent to human skin is not commonly available and too expensive.

The geometry based Cited by: Space-time diagram of eye movements recorded over a period of ms with a sampling rate of Hz using a duaI-Purkinje eye tracking system. Left-to-right eye movements correspond to a bottom-to-top change on the ordinate (see text for details).

A.W. lnhoff & R. Radach movement durations of 8 ms and 4 ms, by:   Image processing 10 Typical operations Among many other image processing operations are: • Euclidean geometry transformations such as enlargement, reduction, and rotation • Color corrections such as brightness and contrast adjustments, color mapping, The red, green, and blue color channels of a photograph by Sergei Mikhailovich Prokudin.

The Journal of Electronic Imaging (JEI), copublished bimonthly with the Society for Imaging Science and Technology, publishes peer-reviewed papers that cover research and applications in all areas of electronic imaging science and technology.

You can write a book review and share your experiences. Other readers will always be interested in your opinion of the books you've read.

Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. Published in the Proceedings of the 6th IEEE International Conference on Automatic Face and Gesture Recognition (FG’04), Seoul, Korea, May,3–8.

Model-Based and Image-Based Methods for Facial Image Synthesis, Analysis and Recognition Demetri Terzopoulos1,2, Yuencheng Lee2,1 and M. Alex O. Vasilescu2,1 1Courant Institute of Mathematical Sciences, New York University, New York, NY Cited by: IEEE TRANSACTIONS ON IMAGE PROCESSING 4 Fig.

Human gaze discrepancies on Rotation2 compared to Reference. The 1st, 2 nd and 3 rd rows represent gaze maps of Reference, DownScaling1 and Rotation2, respectively. DownScaling1 serves as control groups here, becauseCited by: 1. The system has a high degree of linearity, within 3% between ±25° horizontally.

30 Digitization of the individual left eye and right eye movements were performed with a bit digital acquisition hardware card using a range of ± 5 volts ( E series; National Instruments, Austin, TX) at a sampling rate of Hz.

Convergence and divergence Cited by: Image processing Image processing In electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a.

Project report on Eye tracking interpretation system 1. A Project Report on EYE TRACKING INTERPRETATION SYSTEM Submitted by Name Seat No GAVHALE NAVLESH B GAVHANE DEVENDRA B KURKUTE SIDDHESHWAR B A Project report submitted as a partial fulfillment towards Project for term-II of Bachelor of Electronics.

Using a dataset of almost images, performance evaluation of our proposed Q-Fuzzy approach assesses the impact of our feature selection on classification accuracy by way of three experimental scenarios that are compared alongside two other approaches: the All-features (i.e., classification without prior feature selection) and another hybrid.

These are Programs. it is here so the stylesheet can be edited. Monday Janu 3D/4D NN-based Data Processing. Session Chair: Tyler Bell, University of Iowa (United. Dario Salvucci, Drexel University. Eye Movements & ProgrammingNovem 9 Cognitive Architectures Cognitive architecture = psychological theory + computational framework • like a human-modeling programming language • built-in “functions” – e.g., memory store and recall, goal and subgoal setting, perceptual-motor behavior.

Body language refers to the nonverbal signals that we use to communicate. According to experts, these nonverbal signals make up a huge part of daily communication.

From our facial expressions to our body movements, the things we don't say can still convey volumes of information. It has been suggested that body language may account for between 60 percent to 65 percent of all communication.

An Interactive Model-Based Environment for Eye-Movement Protocol Analysis and Visualization Dario D. Salvucci Nissan Cambridge Basic Research Four Cambridge Center Cambridge, MA USA +1 [email protected] ABSTRACT This paper describes EyeTracer, an interactive environment for manipulating, viewing, and analyzing eye-movement protocols.

Eye tracking is the process of measuring either the point of gaze (where one is looking) or the motion of an eye relative to the head.

An eye tracker is a device for measuring eye positions and eye trackers are used in research on the visual system, in psychology, in psycholinguistics, marketing, as an input device for human-computer interaction, and in product design.

The volume's nine papers specifically report on topics such as sensor confidence, low level feature extraction schemes, non-parametric multi-scale curve smoothing, integration of geometric and non-geometric attributes for object recognition, design criteria for a four degree-of-freedom robot head, a real-time vision system based on control of.

The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a challenging problem for clinicians, engineers, and.MBIA - Model-Based Image Analysis.

Looking for abbreviations of MBIA? It is Model-Based Image Analysis. Model-Based Image Analysis listed as MBIA. Model-Based Image Analysis - How is Model-Based Image Analysis abbreviated? Model-Based Image Processing; Model-Based Integration of Embedded Software; Model-Based Integration of Embedded Systems.Using data from a visual fixation task, it was shown that the drift component of fixational eye movements is slower before a microsaccade than when no such movement is generated.

For such an analysis, the graph of the eye's trajectory is covered by boxes of a linear dimension of Δ = 1 lattice unit (Fig. 6 A).