Eye state classification based on multi-feature fusion
| Autor: | Peishu Qu, Wenhui Dong |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Image fusion
genetic structures Contextual image classification Pixel business.industry Computer science Eye height fungi Feature extraction food and beverages Pattern recognition eye diseases medicine.anatomical_structure Feature (computer vision) Face (geometry) medicine Computer vision sense organs Eyelid Artificial intelligence Iris (anatomy) business |
| Zdroj: | 2009 Chinese Control and Decision Conference. |
| DOI: | 10.1109/ccdc.2009.5195119 |
| Popis: | After the study of the infrared eye image, the paper proposes a method that fusing four features together to judge the eye state. The features are iris area, eye area, eye height and eyelid curvature. Compared to the method that only using single feature, this method can overcome the shortcomings and realize the complementary of information. Also, it can obtain a higher correct rate of classification. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|