| Title |
A Technique of Feature Vector Generation for Eye Region Using Embedded Information of Various Color Spaces |
| Authors |
박정환(Park, Jung-Hwan) ; 신판섭(Shin, Pan-Seop) ; 김국보(Kim, Guk-Boh) ; 정종진(Jung, Jong-Jin) |
| DOI |
https://doi.org/10.5370/KIEE.2015.64.1.082 |
| Keywords |
Face recognition ; Face detection ; ROI ; Feature vector ; Color space |
| Abstract |
The researches of image recognition have been processed traditionally. Especially, face recognition technology has been received attractions with advance and applied to various areas according as camera sensor embedded into many devices such as smart phone. In this study, we design and develop a feature vector generation technique of face for making animation caricatures using methods for face detection which are previous stage of face recognition. At first, we detect both face region and detailed eye region of component element by Viola&Johns's realtime detection method which are called as ROI(Region Of Interest). And then, we generate feature vectors of eye region by utilizing factors as opposed to the periphery and by using appearance information of eye. At this point, we focus on the embedded information in many color spaces to overcome the problems which can be occurred by using one color space. We propose a feature vector generation method using information from many color spaces. Finally, we experiment the test of feature vector generation by the proposed method with enough quantity of sample picture data and evaluate the proposed method for factors of estimating performance such as error rate, accuracy and generation time. |