Results 1 to 10 of about 15,779 (108)
Real-Time Pupil Localization Algorithm for Blurred Images Based on Double Constraints [PDF]
Accurate pupil localization is crucial for the eye-tracking technology used in monitoring driver fatigue. However, factors such as poor road conditions may result in blurred eye images being captured by eye-tracking devices, affecting the accuracy of ...
Shufang Qiu +4 more
doaj +4 more sources
Research on Pupil Center Localization Detection Algorithm with Improved YOLOv8
Addressing issues such as low localization accuracy, poor robustness, and long average localization time in pupil center localization algorithms, an improved YOLOv8 network-based pupil center localization algorithm is proposed.
Kejuan Xue, Jinsong Wang, Hao Wang
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Current Trends in Human Pupil Localization: A Review
Pupil localization extracts pupil center coordinates from images and videos of the human eye along with the pupillary boundary. Pupil localization essentially plays a major role in identity verification, disease recognition, visual focus of attention ...
Rasanjalee Rathnayake +7 more
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An Irregular Pupil Localization Network Driven by ResNet Architecture
The precise and robust localization of pupils is crucial for advancing medical diagnostics and enhancing user experience. Currently, the predominant method for determining the center of the pupil relies on the principles of multi-view geometry ...
Genjian Yang +4 more
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Head Pose-Aware Regression for Pupil Localization From a-Pillar Cameras
In vehicular applications, remote eye pupil tracking is essential, particularly for advanced augmented reality (AR) 3D head-up displays (HUDs), and driver monitoring systems (DMS).
Donghwa Kang, Dongwoo Kang
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A Pupil Segmentation Algorithm Based on Fuzzy Clustering of Distributed Information
Pupil segmentation is critical for line-of-sight estimation based on the pupil center method. Due to noise and individual differences in human eyes, the quality of eye images often varies, making pupil segmentation difficult.
Kemeng Bai +2 more
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Iris recognition has been considered as one of the most accurate and reliable biometric technologies, and it is widely used in security applications. Iris segmentation and iris localization, as important preprocessing tasks for iris biometrics, jointly ...
Jiangang Li, Xin Feng
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A unified approach for automated segmentation of pupil and iris in on-axis images
We propose a unified approach for the automatic and accurate segmentation of the pupil and iris from on-axis grayscale eye images. The segmentation of pupil and iris is achieved with Basis-spline-based active contour and circular active contour ...
Grissel Priyanka Mathias +3 more
doaj +1 more source
Iris localization in non-cooperative environments is challenging and essential for accurate iris recognition. Motivated by the traditional iris-localization algorithm and the robustness of the YOLO model, we propose a novel iris-localization algorithm ...
Qi Xiong +4 more
doaj +1 more source
Circle-based Eye Center Localization (CECL) [PDF]
We propose an improved eye center localization method based on the Hough transform, called Circle-based Eye Center Localization (CECL) that is simple, robust, and achieves accuracy on a par with typically more complex state-of-the-art methods.
Maes, Alfons +2 more
core +2 more sources

