학술논문

A novel pupil detection algorithm for infrared eye image
Document Type
Conference
Source
2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013) Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on. :1-5 Aug, 2013
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Image edge detection
Transforms
Accuracy
Equations
Mathematical model
Noise
Real-time systems
Hough Transform
pupil center
gradient direction
parameter space
Language
Abstract
In order to improve the accuracy of the eye gaze tracking technology, this paper presents a novel pupil detection algorithm based on Hough Transform with edge gradient direction information. According to the pupil pixel features in the context of infrared corneal reflection, taking advantage of two-dimensional Hough Transform, combining the edge gradient direction and a fixed range of discrete pupil radius, this algorithm counts parameter space discrete transform points to locate pupil center. It effectively filters out noise, reduces the discrete transform point statistics and calculates pupil's parameters. Experimental results show that the algorithm has a higher accuracy and real-time than the previous models.