Real-time 3D integral imaging system using a faster elemental image generation method using GPU parallel processing

Abstract

A novel method of faster computation of Elemental Image generation for real time integral imaging 3D display system, with the implementation of GPU parallel processing is proposed. Previous experiments were conducted to generate Real Time Integral Image and resulting frame rate was greater than 30fps. Our proposed system consists of the following steps: information acquisition of real objects in real time, calculation of lens property, generation of elemental image sets using pixel mapping algorithm and 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 sensors). Using these information, we create the elemental image sets using pixel mapping algorithm. And finally using a wrapper/sdk of CUDA (CUDAfy) we implemented the pixel mapping algorithm in GPU and hence the overall computational speed of the real time integral display system increases. The proposed system provides elemental images generated at a rate of more than 65 fps. Furthermore, this opens up a new field of possibilities of improvement in integral imaging such as real time projection in multi direction and many others.