Irissometry describes the method of detection, identification, and tracking of features in the iris and its deformations as a function of changes in pupil size and eye rotation.[1]
Iris surface deformations
editStudying deformations of the iris as pupil size varies is relevant to iris recognition algorithms used for personal identification.[2][3][4][5]
The iris may also temporarily deform due to forces evoked during acceleration or deceleration of the eye ball.[6] The iris deforms strongest in the pupillary region (near the pupil-iris border) where the iris is most elastic.[1]
Video-based iris features for eye trackers
editThe elasticity of the iris subjects the shape and degree of circularity of the pupil to variations. For example, the pupil's border may slightly wobble and alter in shape within the iris during changes in pupil size[7] and eye-movements,[6] which can be problematic for eye trackers which base their gaze estimation on the center mass of the pupil border. The outer, ciliary region (close to the iris-Corneal limbus border) is less elastic and thus more robust to movement forces.[1] As such, eye-trackers may improve the accuracy of gaze tracking by relying on peripheral iris features rather than the pupillary border. An open-source MATLAB-based irissometry code is available on GitHub.[8]
See also
editReferences
edit- ^ a b c Strauch, C; Naber, M (2022). "Irissometry: Effects of Pupil Size on Iris Elasticity Measured With Video-Based Feature Tracking". Investigative Ophthalmology & Visual Science. 63 (2): 20. doi:10.1167/iovs.63.2.20. PMC 8842542. PMID 35142787.
- ^ Clark, AD; Kulp, SA; Herron, IH; Ross, AA (2011). "Exploring the nonlinear dynamics of iris deformation". Proceedings of the Biometric Consortium 2011 Conference: Gaithersburg, MD: National Institute of Standards and Technology; 2011.
- ^ Wei, Z; Tan, T; Sun, Z (2007). "Nonlinear Iris Deformation Correction Based on Gaussian Model". Advances in Biometrics. Lecture Notes in Computer Science. Vol. 4642. pp. 780–789. doi:10.1007/978-3-540-74549-5_82. ISBN 978-3-540-74548-8.
- ^ Wyatt, HJ (2000). "A 'minimum-wear-and-tear'meshwork for the iris". Vision Research. 40 (16): 2167–2176. doi:10.1016/S0042-6989(00)00068-7. PMID 10878278. S2CID 11604277.
- ^ Songjang, T; Thainimit, S (2015). "Tracking and modeling human iris surface deformation". 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). pp. 1–5. doi:10.1109/ECTICon.2015.7207025. ISBN 978-1-4799-7961-5. S2CID 14969972.
- ^ a b Nyström, M; Hooge, I; Holmqvist, K (2013). "Post-saccadic oscillations in eye movement data recorded with pupil-based eye trackers reflect motion of the pupil inside the iris". Vision Research. 92: 59–66. doi:10.1016/j.visres.2013.09.009. PMID 24096093. S2CID 16713565.
- ^ Wyatt, HJ (1995). "The form of the human pupil". Vision Research. 35 (14): 2021–2036. doi:10.1016/0042-6989(94)00268-Q. PMID 7660606. S2CID 18986507.
- ^ GitHub (December 18, 2021). "Irissometry". GitHub. marnixnaber.