An improved and efficient system for faster computation of Elemental Image generation for real time integral imaging 3D display system with the assistance of Graphics Processing Unit parallel processing is proposed. Previously implemented systems for real time integral imaging system had a resulting frame rate greater than 30 fps for elemental image generation. But this improved and more efficient system is able to produce elemental image at a rate greater than 65 fps for real time integral imaging system. Our proposed model consists of the following steps: information acquisition of objects in real time using Kinect sensor, generation of elemental image sets using pixel mapping algorithm using GPU parallel processing for faster generation. To implement this system, firstly the color (RGB) and depth information data of each object point is acquired from the depth camera (Kinect sensor). Using acquired information, we create the elemental image sets using pixel mapping algorithm. And finally we implemented the pixel mapping algorithm in GPU and hence the overall computational speed of the real time integral display system increased surprisingly. This remarkable increase in speed for elemental image generation opens up new field of possibilities for improvement in integral imaging technology i.e. merging this system with multi-directional projection for real time integral imaging system can enhance the viewing angle remarkably and so on.

Date Published: 13 March 2019
PDF: 9 pages
Proc. SPIE 10942, Advances in Display Technologies IX, 109420O (13 March 2019); doi: 10.1117/12.2509716

Published in SPIE Proceedings Vol. 10942:
Advances in Display Technologies IX
Jiun-Haw Lee; Qiong-Hua Wang; Tae-Hoon Yoon, Editor(s)