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S3PL : Self-Supervised Segmentation for Robust Pupil Localization
Proceedings of the ACM on Computer Graphics and Interactive TechniquesThe task of pupil localization is an imperative step for any gaze estimation and eye tracking systems. Due to the challenges induced by diverse factors like illumination, reflections and noise, researchers have proposed several classical and learning based approaches addressing this problem.
Vishnuvardhan Purma +3 more
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Accurate Eye Pupil Localization Using Heterogeneous CNN Models
2019 IEEE International Conference on Image Processing (ICIP), 2019Eye pupil localization is one of the indispensable technologies in various computer vision applications such as virtual reality and augmented reality. In general, the algorithm consists of finding the approximate eye region and finding the pupil position by extracting the semantic feature from each eye region.
Jun Ho Choi +3 more
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Automatic segmentation of pupil using local histogram and standard deviation
SPIE Proceedings, 2010This paper presents a novel approach for automatic pupil segmentation. The proposed algorithm uses local histogram and standard deviation based adaptive thresholding method that looks for the region that has the highest probability of having the pupil.
Muhammad Talal Ibrahim +3 more
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The local effect of morphine, nalorphine, and codeine on the diameter of the pupil of the eye
Clinical Pharmacology & Therapeutics, 1968We have demonstrated that morphine (but not codeine) when applied locally to the coniunctival sac in a solution containing polysorbate produces a small but definite degree of miosis. This is apparently a local effect, since it is significantly greater in the treated than in the untreated eye. Locally applied nalorphine may also produce miosis by direct
N, Nomof, H W, Elliott, K D, Parker
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Pupil Localization for Ophthalmic Diagnosis Using Anchor Ellipse Regression
2019 16th International Conference on Machine Vision Applications (MVA), 2019Recent developments of deep neural networks, such as Mask R-CNN, have shown significant advances in simultaneous object detection and segmentation. We thus apply deep learning to pupil localization for ophthalmic diagnosis and propose a novel anchor ellipse regression approach based on region proposal network and Mask R-CNN for detecting pupils ...
Horng-Horng Lin +4 more
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An adaptive localization of pupil degraded by eyelash occlusion and poor contrast
Multimedia Tools and Applications, 2018The inner boundary of iris represents the pupil’s edge. Hence, to work an Iris Recognition System (IRS) and the gaze tracking system expeditiously it is important to locate it as precisely as possible in a significant amout of time. In the presence of non-ideal constraints e.g.
Gunjan Gautam, Susanta Mukhopadhyay
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Distorted Pupil Localization in Eye Tracking
JOURNAL OF ELECTRONICS INFORMATION & TECHNOLOGY, 2010Wen-cong Zhang +4 more
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A Pupil Localization Method Based on Dual Threshold and Contour Compensation
2023 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2023Yan Li +5 more
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Pupil localization in image data acquired with near-infrared or visible wavelength illumination
Multimedia Tools and Applications, 2017Farmanullah Jan
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