Results 221 to 230 of about 22,581 (264)
Factors Affecting Postoperative Satisfaction After Presbyopia-Correcting Intraocular Lens. [PDF]
J Clin MedPark CY.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Robust Pupil Localization Algorithm under Off-axial Pupil Occlusion
2019 2nd International Conference on Bioinformatics, Biotechnology and Biomedical Engineering (BioMIC) - Bioinformatics and Biomedical Engineering, 2019The off-axial pupil is one of several challenges in pupil localization during real-time eye tracking. The off-axial occlusion is a laying condition of a head-mounted eye tracker that is not in a straight line towards the eye. Thus, this occlusion causes the pupil to be recorded in an elliptical shape instead of a perfect circular shape.
Sunu Wibirama, Igi Ardiyanto
exaly +2 more sources
Eye pupil localization algorithm using convolutional neural networks
Multimedia Tools and Applications, 2020Eye 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.
Byung Cheol Song
exaly +2 more sources
Pupil localization by ASM and regional gray distribution
2011 9th World Congress on Intelligent Control and Automation, 2011This paper presents a new approach for pupil localization. The whole system can be divided into two stages: eyes detection and pupil localization. In the first stage, ASM method is used to locate the facial feature points, in which Adaboost algorithm is used to detect human face and provide the original searching position.
Xianmei Wang
exaly +2 more sources
Non-circular pupil localization in iris images
2008 4th International Conference on Emerging Technologies, 2008Iris localization is the most important step in iris recognition systems, due to the fact that all the subsequent steps, iris normalization, feature extraction and matching, depends on its accuracy. Iris localization means segmentation of iris from the other parts of eye like pupil, sclera, eyelids and eyelashes in the image of an eye.
A. Basit, M. Y. Javed, S. Masood
exaly +2 more sources
Robust Pupil Localization Algorithm Based on Circular Hough Transform for Extreme Pupil Occlusion
2018 4th International Conference on Science and Technology (ICST), 2018Pupil localization has been the core of eye tracking research. Accuracy of an eye tracking application relies on how center of the pupil is localized under various occlusions-such as eyelids and eyebrows. Previous works have preserved the accuracy of pupil localization when the eyelid covers the pupil up to 70% occlusion.
Sunu Wibirama, Noor Akhmad Setiawan
exaly +2 more sources
PupilTAN: A Few-Shot Adversarial Pupil Localizer
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021The eye center localization is a challenging problem faced by many computer vision applications. The challenges typically stem from the scene variability, such as, the wide range of shapes, the lighting conditions, the view angles and the occlusions.
Nikolaos Poulopoulos +2 more
openaire +1 more source
A Novel and Efficient Feedback Method for Pupil and Iris Localization
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010This paper presents a novel method for the automatic pupil and iris localization. The proposed algorithm is based on an automatic adaptive thresholding method that iteratively looks for a region that has the highest chances of enclosing the pupil. Once the pupil is localized, next step is to find the boundary of iris based on the first derivative of ...
Muhammad Talal Ibrahim +3 more
openaire +1 more source
A Novel Iterative Approach to Pupil Localization
2014This paper proposes a novel method for localizing the center of pupils. Given a face detected in an image, it first empirically initializes the eye regions in the face, and locates the pupils within the eye regions by using an improved isophote curvature based method. It then updates the eye regions according to the detected pupil centers.
Ronghang Zhu +3 more
openaire +1 more source
Pupil localization algorithm based on lightweight convolutional neural network
Visual ComputerJianbin Xiong, Jian Cen, Jinji Nie
exaly +2 more sources