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. In this paper, we propose a pupil segmentation method based on fuzzy clust...
Main Authors: | Kemeng Bai, Jianzhong Wang, Hongfeng Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/12/4209 |
Similar Items
-
A Geometry-Appearance-Based Pupil Detection Method for Near-Infrared Head-Mounted Cameras
by: Jianfeng Li, et al.
Published: (2018-01-01) -
PDIF: Pupil Detection After Isolation and Fitting
by: Federico Manuri, et al.
Published: (2020-01-01) -
An Optokinetic Nystagmus Detection Method for Use With Young Children
by: Mehrdad Sangi, et al.
Published: (2015-01-01) -
A Local Neighborhood Robust Fuzzy Clustering Image Segmentation Algorithm Based on an Adaptive Feature Selection Gaussian Mixture Model
by: Hang Ren, et al.
Published: (2020-04-01) -
Convolutional Neural Networks Cascade for Automatic Pupil and Iris Detection in Ocular Proton Therapy
by: Luca Antonioli, et al.
Published: (2021-06-01)