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http://dx.doi.org/10.6109/jkiice.2019.23.12.1492

Estimating Location in Real-world of a Observer for Adaptive Parallax Barrier  

Kang, Seok-Hoon (Department of Embedded Systems Engineering, Incheon National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.12, 2019 , pp. 1492-1499 More about this Journal
Abstract
This paper propose how to track the position of the observer to control the viewing zone using an adaptive parallax barrier. The pose is estimated using a Constrained Local Model based on the shape model and Landmark for robust eye-distance measurement in the face pose. Camera's correlation converts distance and horizontal location to centimeter. The pixel pitch of the adaptive parallax barrier is adjusted according to the position of the observer's eyes, and the barrier is moved to adjust the viewing area. This paper propose a method for tracking the observer in the range of 60cm to 490cm, and measure the error, measurable range, and fps according to the resolution of the camera image. As a result, the observer can be measured within the absolute error range of 3.1642cm on average, and it was able to measure about 278cm at 320×240, about 488cm at 640×480, and about 493cm at 1280×960 depending on the resolution of the image.
Keywords
Camera; Shape Model; Landmark; Parallax Barrier; CLM;
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