In this paper, we propose a system that can estimate viewer's eye position using single camera in an autostereoscopic 3D display, which adopts Active Appearance Model (AAM), Elastic Bunch Graph Matching (EBGM) and Pose from Orthography and Scaling with ITerations (POSIT) algorithms for the eye position calculation. AAM is one of the most prominent facial feature detection algorithms for estimating viewer's eye position. However, this algorithm also has an issue in accuracy. EBGM is also known to be a very successful algorithm for the detection of viewer's facial feature points. Also, POSIT is known to calculate 3D pose from 2D image. In this paper, we propose a way to improve the accuracy of viewer's eye position by applying algorithms, AAM for initial estimation of facial features , EBGM for accurate facial feature position calculation and POSIT for calculation 3D facial position. The system estimates 3D facial position from extracted facial feature points to calculate accurate eye position. To calculate accurate eye position, we adopt POSIT algorithm when the viewer's face is rotated. It is verified through experiments that the newly proposed method performs better than existing method that uses single camera.
The purpose of this study is to suggest a proper improvement direction of the public ordering and receiving system in related with e-Learning. The research methods for this paper are derived from survey about e-Learning companies and the written materials of the present public e-Learning project. According to the study, in most cases, the public e-Learning projects don't affect positively e-Learning company's businesses. It indicates that the public e-Learning project has three problems or improvement items. And as a solution to the problems, it presented the policy alternatives the policy alternatives as the concept of ordering and receiving system.
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