Abstract
In this paper, a new eye detection method is presented. The method consists of three steps: (1) extraction of binary edge image (BEI) based on the multi-resolution analysis of wavelet transform; (2) extraction of eye region and segments from BEI, and (3) eye localization using light dot or intensity information. An improved face region extraction algorithm and a light dot detection method are proposed to improve eye detection performance. Experimental results show that our approach can achieve a correct eye detection rate of 98.7% on 150 Bern images with variations in view and gaze direction and a rate of 96.6% on 564 AR images with different facial expressions and lighting conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 492-501 |
| Number of pages | 10 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3645 |
| Issue number | PART II |
| Publication status | Published - 31 Oct 2005 |
| Event | International Conference on Intelligent Computing, ICIC 2005 - Hefei, China Duration: 23 Aug 2005 → 26 Aug 2005 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science