Study of fully-automatic red-eye removal algorithm
Autor: | Zhi Gang Chen, YueLi Cui, AiHua Chen |
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Rok vydání: | 2010 |
Předmět: |
genetic structures
Pixel business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Digital photography Red-eye effect Image processing Pattern recognition Facial recognition system eye diseases Statistical classification Robustness (computer science) Computer vision sense organs Artificial intelligence Face detection business GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) |
Zdroj: | 2010 3rd International Congress on Image and Signal Processing. |
DOI: | 10.1109/cisp.2010.5648115 |
Popis: | “Red-eye effect” is a phenomenon that when a flashgun is used, the center of pupils appears unnaturally reddish. The automatic red-eye removal system can detect and correct red-eye automatically without manual intervention. First, faces are detected using Face Detection based on AdaBoost Algorithm, then the red-eyes are located using kinds of image processing method. At last the located red-eyes are finished corrected. The experimental results indicate that, the system can remove the red-eye automatically and effectively in the digital photo and has good robustness and rapidity. |
Databáze: | OpenAIRE |
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