Title :
Methods to decrease noise disturbance in eye-gaze input system
Author :
Qijie Zhao ; Dawei Tu ; Zhihua Huang ; Hengliang Yang
Author_Institution :
Sch. of Mech. Eng. Autom., Shanghai Univ., Shanghai
Abstract :
According to a practical eye-gaze input human-computer interaction system, a set of image capturing system based on inferred filter has been set up and a kind of image thresholding model has also been provided, furthermore, some experiments have been done with the provided threshold model and image capturing system, the results show that the influence on extracting eye features has been deduced with this capturing system, and the provided method and system have improved the illumination adaptation in eye-gaze input human-computer interaction application.
Keywords :
eye; feature extraction; filtering theory; human computer interaction; image denoising; image segmentation; eye-gaze input human-computer interaction system; feature extraction; illumination adaptation; image capturing system; image thresholding; inferred filter; iris location; noise disturbance; illumination adaptation; image processing; iris location; visual line tracking;
Conference_Titel :
Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-86341-836-5
