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| Content Provider | IET Digital Library |
|---|---|
| Author | Mohammadi, Mohammad Reza Raie, Abolghasem |
| Abstract | The ‘gaze estimation’ problem, because of its manifold applications including human–computer interaction especially for the handicapped, has been a topic of research for many years. Recently, thanks to technological advances, non-intrusive methods based on image processing employed in broader applications, are addressed more than before. One of the promising approaches to gaze estimation is based on projective geometry. In projective geometry-based approaches, an ellipse is fitted to the image of iris boundary and from its parameters, two solutions are obtained, only one of which is valid for the gaze direction. Since the ellipse parameters are not adequate for disambiguation, in a previous work, the accurate coordinates of eye corners in three-dimensional, as complementary information, is obtained through another system increasing the cost and complexity of the overall system. In this article, a new technique to select the valid solution, based on eye geometry and iris image, is developed. In the proposed technique, relative position of the pupil centre with respect to the iris centre is used as the complementary information and a novel algorithm is proposed for its extraction. The performance of the proposed technique was evaluated on 600 real images and with only one failure on selecting the valid solution demonstrated an accuracy of 99.8% for disambiguation. |
| Starting Page | 238 |
| Ending Page | 245 |
| Page Count | 8 |
| ISSN | 17519632 |
| Volume Number | 7 |
| e-ISSN | 17519640 |
| Issue Number | Issue 4, Aug (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cvi/7/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2012.0141 |
| Journal | IET Computer Vision |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Complementary Information Computer Vision And Image Processing Technique Ellipse Parameter Eye Geometry Gaze Estimation Problem Handicapped Human-computer Interaction Image Processing Image Recognition Iris Boundary Image Iris Centre Iris Recognition Nonintrusive Method Projective Geometry-based Approach Pupil Position Unique Gaze Direction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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