Have a personal or library account? Click to login
Eye Image Segmentation Method Based on the Modified U-Net CNN Architecture Cover

References

  1. Alhargan A., Cooke N., Binjammaz T., Affect Recognition in an Interactive Gaming Environment Using Eye Tracking, In: 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII). Presented at the 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 285-291, https://doi.org/10.1109/ACII.2017.8273614.10.1109/ACII.2017.8273614
  2. Bernsen J., Dynamic thresholding of grey-level images fcV, In: Proceeding of the 8 International Conference O11 Pattern Rec-Gn Ition, 1986, pp. 125l-1255.
  3. Bozomitu R.G., Niţă L., Cehan V., Alexa I.D., Ilie A.C., Păsărică A., Rotariu C., A New Integrated System for Assistance in Communicating with and Telemonitoring Severely Disabled Patients, Sensors 19, 2026, 2019a, https://doi.org/10.3390/s19092026.10.3390/s19092026
  4. Bozomitu R.G., Păsărică A., Tărniceriu D., Rotariu C., Development of an Eye Tracking-Based Human-Computer Interface for Real-Time Applications, Sensors 19, 3630, 2019b, https://doi.org/10.3390/s19163630.10.3390/s19163630
  5. Bradley D., Roth G., Adaptive Thresholding Using the Integral Image, J. Graph. Tools 12, 13-21 (2007).10.1080/2151237X.2007.10129236
  6. CASIA-Iris-Lamp dataset [WWW Document], 2020. URL http://biometrics.idealtest.org/, Casia-Iris-Lamp.
  7. Chollet F., Xception: Deep Learning with Depthwise Separable Convolutions, Presented at the Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, 1251-1258.10.1109/CVPR.2017.195
  8. Dice L.R., Measures of the Amount of Ecologic Association Between Species, Ecology 26, 1945, 297-302, https://doi.org/10.2307/1932409.10.2307/1932409
  9. Hooge I.T.C., Hessels R.S., Niehorster C.D., Diaz G.J., Duchowski A.T., Pelz J.B., From Lab-Based Studies to Eye-Tracking in Virtual and Real Worlds: Conceptual and Methodological Problems and Solutions, J. Eye Mov. Res. 12 (2019), https://doi.org/10.16910/jemr.12.7.810.16910/jemr.12.7.8
  10. Kittler J., Illingworth J., Minimum Error Thresholding, Pattern Recognit. 19, 41-47 (1986), https://doi.org/10.1016/0031-3203(86)90030-0.10.1016/0031-3203(86)90030-0
  11. Lee H., Method and Circuit for Extracting Histogram and Cumulative Distribution Function for Image Enhancement Apparatus, Google Patents, 2001.
  12. Li D., Babcock J., Parkhurst D.J., OpenEyes: A Low-Cost Head-Mounted Eye-Tracking Solution, In: Proceedings of the 2006 Symposium on Eye Tracking Research & Applications, ETRA ’06. Association for Computing Machinery, San Diego, California, 2006, 95-100, https://doi.org/10.1145/1117309.1117350.10.1145/1117309.1117350
  13. Niblack W., An Introduction to Digital Image Processing, Strandberg Publishing Company, 1985.
  14. Păsărică A., Bozomitu R.G., Tărniceriu D., Andruseac G., Costin H., Rotariu C., Analysis of Eye Image Segmentation Used in Eye Tracking Applications, Rev Roum Sci Techn – Électrotechn Énerg, 62, 215-222, 2017.
  15. Rahal R.-M., Fiedler S., Understanding Cognitive and Affective Mechanisms in Social Psychology Through Eye-Tracking, J. Exp. Soc. Psychol. 85, 103842 (2019). https://doi.org/10.1016/j.jesp.2019.103842.10.1016/j.jesp.2019.103842
  16. Ronneberger O., Fischer P., Brox T., U-Net: Convolutional Networks for Biomedical Image Segmentation, In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Lecture Notes in Computer Science, Springer International Publishing, Cham, 234-241, 2015, https://doi.org/10.1007/978-3-319-24574-4_28.10.1007/978-3-319-24574-4_28
  17. Singh H., Bhatia J.S., Kaur J., Eye Tracking Based Driver Fatigue Monitoring and Warning System, In: India International Conference on Power Electronics 2010 (IICPE2010). Presented at the India International Conference on Power Electronics 2010 (IICPE2010), 1-6, 2011, https://doi.org/10.1109/IICPE.2011.5728062.10.1109/IICPE.2011.5728062
  18. Sorensen T.A., Sørensen T., Sørensen T.A., Sørensen T.J., Sørensen T.J., Sorensen T., Sorensen T., Sorensen T.A., Sørensen T., Biering-Sørensen T., A Method of Establishing Groups of Equal Amplitude in Plant Sociology Based on Similarity of Species Content, and its Application to Analyses of the Vegetation on Danish Commons, 1948.
  19. Ujbanyi T., Sziladi G., Katona J., Kovari A., Pilot Application of Eye-Tracking to Analyze a Computer Exam Test, In: Klempous R., Nikodem J., Baranyi P.Z. (Eds.), Cognitive Infocommunications, Theory and Applications, Topics in Intelligent Engineering and Informatics, Springer International Publishing, Cham, 329-347, 2019, https://doi.org/10.1007/978-3-319-95996-2_15.10.1007/978-3-319-95996-2_15
  20. Wedel M., Pieters R., Eye Tracking for Visual Marketing. Found, Trends® Mark. 1, 231-320, 2008, https://doi.org/10.1561/1700000011.10.1561/1700000011
  21. Zhang X., Liu X., Yuan S.-M., Lin S.-F., Eye Tracking Based Control System for Natural Human-Computer Interaction [WWW Document], Comput. Intell. Neurosci., 2017, https://doi.org/10.1155/2017/5739301.10.1155/2017/5739301
  22. Zhang Y., Gerbrands J.J., Objective and Quantitative Segmentation Evaluation and Comparison, Signal Process. 39, 43-54, 1994.10.1016/0165-1684(94)90122-8
DOI: https://doi.org/10.2478/bipie-2021-0010 | Journal eISSN: 2537-2726 | Journal ISSN: 1223-8139
Language: English
Page range: 41 - 52
Submitted on: Mar 29, 2021
Accepted on: May 16, 2021
Published on: Mar 12, 2022
Published by: Gheorghe Asachi Technical University of Iasi
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Casian Miron, Laura Ioana Grigoras, Radu Ciucu, Vasile Manta, published by Gheorghe Asachi Technical University of Iasi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.