Facebook Twitter Linkedin
HOME btn ABOUT US btn JOURNALS btn AUTHORS btn CONFERENCE PROCEEDINGS btn SEARCH btn CONTACT US  
  home bred bred bred bred bred bred bred  
   LIST OF ACADEMIA JOURNALS
btn Academia Journal of Biotechnology
btn Journal of Business and Economic     Management
btn  Academia Journal of Medicinal Plants
btn Academia Journal of Environmental     Sciences
btn Academia Journal of Agricultural     Research
btn Academia Journal of Educational     Research
btn Academia Journal of Food Research
btn Academia Journal of Scientific     Research
btn Academia Journal of Microbiology    Research
btn  Engineering and Technology
btn Academia Journal of Pharmacy and     Pharmacology
btn Medicine and Medical Sciences
   USEFUL LINKS
btn Conference Publishing
btn Grants Application
btn  Impact Factor
btn Conference Partners and Sponsors
btn Partners and Indexing Bodies
btn Building New Future Journals. Start a     new journal with Academia Publishing.     Write and submit your proposal
btn Indexed by CABI

Classifications

  1. Eng Technol Res

Related Articles

  1. Google Scholar

  2. PubMed


et

Research Article

Engineering and Technology Research 1(3): 089-098, July 2019
DOI: 10.15413/etr.2019.0104

ISSN: 2682 5716
2019 Academia Publishing

Abstract

 

 

Eye centre localisation using low cost webcam

 

 

Accepted 18th June, 2019

 
P. Neeraj* and Anurag Sharma

Department of Electronics and Communication, CT Institute of Technology and Research, Jalandhar, Punjab, Pakistan.

 

 

Numerous Computer vision applications uses eye tracking and face recognition. An eye tracker is far better input then other input devices. According to the historical point of view, the first approach on camera based eye tracking was illustrated by Dodge and Cline in 1901. Eye tracker is all based on the analysis of person’s eye movement, attention, feelings and concentration. The main objective is to achieve eye tracking with more precision using low cost web camera. But recent systems which depend on available light to predict eye centre using various algorithms fail to detect eye centre in low resolution or low cost. To achieve this objective, the software opencv3.0 and visual studio 2015 with low cost and low resolution camera is used. To achieve this objective, Image gradient is one of the best approaches used to predict eye centre accurately. By following this simple approach function in this study which has only dot product makes possible to achieve the objective. The maximum position of this function is at the point where maximum gradient vectors intersect and thus to the eye’s centre. This method helps to detects eye centre localisation of pupil in 99% of the cases in spite of varying contrast pose or illumination.

Key words: Eye centre localisation, pupil and iris localisation, image gradients, feature extraction.
 

Cite this article as:
Neeraj P, Sharma A (2019). Eye centre localisation using low cost webcam. Eng. Technol. Res. 1(3): 089-098.


This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.




Copyright © 2019 Academia Publishing. All rights reserved