KEYWORDS: Imaging systems, Integral imaging, Cameras, 3D image processing, Computing systems, 3D displays, Parallel processing, Image processing, Data acquisition, Graphics processing units
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.
KEYWORDS: 3D image reconstruction, 3D image processing, Imaging systems, Image enhancement, Integral imaging, Parallel processing, 3D image enhancement, 3D acquisition, Image processing, Reconstruction algorithms, 3D displays, Cameras
A novel method of viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing is proposed. The proposed system is composed of three processes: information acquisition of real objects, generation of multi-directional elemental image sets, and reconstruction of 3D images by using multidirectional projections scheme. To implement this system, depth and color (RGB) information of each object point are captured by a depth camera; then, a dynamic algorithm and GPU parallel processing are used for generating multidirectional elemental image sets to be illuminated in different directions as well as to maintain a real-time processing seed; and finally, 3D images are reconstructed by using a time-multiplexed multi-directional projection scheme through an appropriate optical setup of a projection-type integral image system. Multi-directional illuminations of elemental image sets enhance the optical ray divergence of reconstructed 3D images according to the directional projection angles. Hence, a real-time integral imaging system with enhanced viewing angle is achieved.
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