Have a personal or library account? Click to login
Research on the Gaze Direction of Head-Eye Data Fusion Cover
By: Xin Xu and  Changyuan Wang  
Open Access
|May 2023

References

  1. Fuhl W, Santini T, Kasneci G. Pupilnet: Convolutional neural networks for robust pupil detection[J]. arXiv preprint arXiv:1601.04902, 2016.
  2. Eivazi S, Santini T, Keshavarzi A. Improving real-time CNN-based pupil detection through domain-specific data augmentation[C]. Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019: 1–6.
  3. Fuhl W, Geisler D, Rosenstiel W. The applicability of Cycle GANs for pupil and eyelid segmentation, data generation and image refinement[C]. Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019: 0–0.
  4. Zhu J-Y, Park T, Isola P. Unpaired image-to-image translation using cycle-consistent adversarial networks[C]. Proceedings of the IEEE international conference on computer vision, 2017: 2223–2232.
  5. Tsironi E, Barros P, Weber C. An analysis of convolutional long short-term memory recurrent neural networks for gesture recognition[J]. Neurocomputing, 2017, 268: 76–86.
  6. Liu Z, Li J, Shen Z. Learning efficient convolutional networks through network slimming[C]. Proceedings of the IEEE International Conference on Computer Vision, 2017: 2736–2744.
  7. Bao J, Ye M. Head pose estimation based on robust convolutional neural network[J]. Cybernetics and Information Technologies, 2016, 16(6): 133–145.
  8. Patacchiola M, Cangelosi A. Head pose estimation in the wild using convolutional neural networks and adaptive gradient methods[J]. Pattern Recognition, 2017, 71: 132–143.
  9. Santini T, Niehorster D C, Kasneci E. Get a grip: slippage-robust and glint-free gaze estimation for real-time pervasive head-mounted eye tracking[C]. Proceedings of the 11th ACM symposium on eye tracking research & applications, 2019: 1–10.
  10. Su Haiming, Hou Zhenjie, Liang Jiuzhen. A gaze tracking method using geometric features of human eyes [J]. Journal of Image and Graphics, 2019(201906): 914–923.
  11. Park S, Spurr A, Hilliges O. Deep pictorial gaze estimation[C]. Proceedings of the European Conference on Computer Vision (ECCV), 2018: 721–738.
  12. Zhang X, Sugano Y, Fritz M. Mpiigaze: Real-world dataset and deep appearance-based gaze estimation[J]. IEEE transactions on pattern analysis and machine intelligence, 2017, 41(1): 162–175.
  13. Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition [J]. arXiv preprint arXiv:1409.1556, 2014.
  14. Mase K, Watanabe Y, Suenaga Y. Real-time head motion detection system. Sensing and Reconstruction of Three-Dimensional Objects and Scenes: International Society for Optics and Photonics; 1990. p. 262–8.
  15. Rolland JP, Davis LD, Baillot Y. A survey of tracking technologies for virtual environments. Fundamentals of wearable computers and augmented reality: CRC Press; 2001. p. 83–128.
  16. Zhou H, Hu HJBsp, control. Human motion tracking for rehabilitation—A survey. 2008;3:1–18.
  17. Al-Rahayfeh A, Faezipour MJIjoteih, medicine. Eye tracking and head movement detection: A state-of-art survey. 2013; 1:2100212.
  18. Von Lüdinghausen MJCATOJotAAoCA, Anatomists tBAoC. Bilateral supernumerary rectus muscles of the orbit. 1998; 11:271–7.
  19. Raudonis V, Simutis R, Narvydas G. Discrete eye tracking for medical applications. 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies: IEEE; 2009. p. 1–6.
  20. Botha CP, de Graaf T, Schutte S, Root R, Wielopolski P, van der Helm FC, et al. MRI-based visualisation of orbital fat deformation during eye motion. Visualization in medicine and life sciences: Springer; 2008. p. 221–33.
  21. Glarin RK, Nguyen BN, Cleary JO, Kolbe SC, Ordidge RJ, Bui BV, et al. Mr-eye: high-resolution mri of the human eye and orbit at ultrahigh field (7t). 2021; 29:103–16.
  22. Uhl A, Wild P. Multi-stage visible wavelength and near infrared iris segmentation framework. International Conference Image Analysis and Recognition: Springer; 2012. p. 1–10.
  23. Loskutova E, Butler JS, Hernandez Martinez G, Flitcroft I, Loughman JJCER. Macular Pigment Optical Density Fluctuation as a Function of Pupillary Mydriasis: Methodological Considerations for Dual-Wavelength Autofluorescence. 2021; 46:532–8.
  24. Jan F, Usman IJO. Iris segmentation for visible wavelength and near infrared eye images. 2014; 125:4274–82.
  25. Chen Y, Davoine F. Simultaneous Tracking of Rigid Head Motion and Non-rigid Facial Animation by Analyzing Local Features Statistically. BMVC2006.
Language: English
Page range: 1 - 11
Published on: May 21, 2023
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Xin Xu, Changyuan Wang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.