Share Email Print
cover

Proceedings Paper

Study of improved ray tracing parallel algorithm for CGH of 3D objects on GPU
Author(s): Bin Cong; Xiaoyu Jiang; Jun Yao; Kai Zhao
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

An improved parallel algorithm for holograms of three-dimensional objects was presented. According to the physical characteristics and mathematical properties of the original ray tracing algorithm for computer generated holograms (CGH), using transform approximation and numerical analysis methods, we extract parts of ray tracing algorithm which satisfy parallelization features and implement them on graphics processing unit (GPU). Meanwhile, through proper design of parallel numerical procedure, we did parallel programming to the two-dimensional slices of three-dimensional object with CUDA. According to the experiments, an effective method of dealing with occlusion problem in ray tracing is proposed, as well as generating the holograms of 3D objects with additive property. Our results indicate that the improved algorithm can effectively shorten the computing time. Due to the different sizes of spatial object points and hologram pixels, the speed has increased 20 to 70 times comparing with original ray tracing algorithm.

Paper Details

Date Published: 21 November 2014
PDF: 6 pages
Proc. SPIE 9296, International Symposium on Optoelectronic Technology and Application 2014: Advanced Display Technology; Nonimaging Optics: Efficient Design for Illumination and Solar Concentration, 929609 (21 November 2014); doi: 10.1117/12.2071472
Show Author Affiliations
Bin Cong, Academy of Armored Force Engineering (China)
Xiaoyu Jiang, Academy of Armored Force Engineering (China)
Jun Yao, Academy of Armored Force Engineering (China)
Kai Zhao, Academy of Armored Force Engineering (China)


Published in SPIE Proceedings Vol. 9296:
International Symposium on Optoelectronic Technology and Application 2014: Advanced Display Technology; Nonimaging Optics: Efficient Design for Illumination and Solar Concentration
Byoungho Lee; Ting-Chung Poon; Yongtian Wang; Yong Bi; Roland Winston; Yi Luo, Editor(s)

© SPIE. Terms of Use
Back to Top