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The Implementation of Automatic Compensation Modules for Digital Camera Image by Recognition of the Eye State  

Jeon, Young-Joon (동의대학교 부산IT융합부품연구소)
Shin, Hong-Seob (동의대학교 컴퓨터공학과)
Kim, Jin-Il (동의대학교 컴퓨터공학과)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.14, no.3, 2013 , pp. 162-168 More about this Journal
Abstract
This paper examines the implementation of automatic compensation modules for digital camera image when a person is closing his/her eyes. The modules detect the face and eye region and then recognize the eye state. If the image is taken when a person is closing his/her eyes, the function corrects the eye and produces the image by using the most satisfactory image of the eye state among the past frames stored in the buffer. In order to recognize the face and eye precisely, the pre-process of image correction is carried out using SURF algorithm and Homography method. For the detection of face and eye region, Haar-like feature algorithm is used. To decide whether the eye is open or not, similarity comparison method is used along with template matching of the eye region. The modules are tested in various facial environments and confirmed to effectively correct the images containing faces.
Keywords
SURF Algorithm; Haar-like feature; Face Detection; Eye Detection; Eye State Recognition; Homography; Digital Camera;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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