Study of improved ray tracing parallel algorithm for CGH of 3D objects on GPU

Bin Cong; Xiaoyu Jiang; Jun Yao; Kai Zhao

doi:10.1117/12.2071472

21 November 2014 Study of improved ray tracing parallel algorithm for CGH of 3D objects on GPU

Bin Cong, Xiaoyu Jiang, Jun Yao, Kai Zhao

Proceedings Volume 9296, International Symposium on Optoelectronic Technology and Application 2014: Advanced Display Technology; Nonimaging Optics: Efficient Design for Illumination and Solar Concentration; 929609 (2014) https://doi.org/10.1117/12.2071472
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

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.

Citation Download Citation

Bin Cong, Xiaoyu Jiang, Jun Yao, and Kai Zhao "Study of improved ray tracing parallel algorithm for CGH of 3D objects on GPU", 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); https://doi.org/10.1117/12.2071472

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