Abstract
A new approach of eye locating from facial images based on area-blocks pairing and multi-angle template is proposed. In this paper, we first get the face region using skin-color model and extract the edge of face region, then obtain the blocks of suspected eye areas by morphological processing. Last, we can locate the position of eyes accurately using area-blocks pairing and multi-angle template matching. This approach is steady for image-whirling. The experimental results have shown the effectiveness and the robustness of our proposed algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2009 Chinese Control and Decision Conference, CCDC 2009 |
| Pages | 661-664 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 2009 Chinese Control and Decision Conference, CCDC 2009 - Guilin, China Duration: 17 Jun 2009 → 19 Jun 2009 |
Publication series
| Name | 2009 Chinese Control and Decision Conference, CCDC 2009 |
|---|
Conference
| Conference | 2009 Chinese Control and Decision Conference, CCDC 2009 |
|---|---|
| Country/Territory | China |
| City | Guilin |
| Period | 17/06/09 → 19/06/09 |
Keywords
- Area-blocks
- Eye locating
- Face detection
- Multi-angle template
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Jian, W., Zhenzhen, S., Honglian, Z., Bing, L., & DeFeng, C. (2009). Eye detection algorithm base on area-blocks pairing and multi-angle template matching. In 2009 Chinese Control and Decision Conference, CCDC 2009 (pp. 661-664). Article 5194866 (2009 Chinese Control and Decision Conference, CCDC 2009). https://doi.org/10.1109/CCDC.2009.5194866