Ray-Tracing Hologram Generation Algorithm Based on OptiX Ray-Tracing Engine

Fig. 6. 3D model and optical reconstructed images at different distances. (a) Polygon model image; reconstructed images by ray-tracing algorithm at (b) 95mm and (c) 105mm away from hologram plane; (d) point cloud model image; reconstructed images by point cloud algorithm at (e) 95mm and (f) 105mm away from hologram plane

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Table 1. Comparation of computing power between CPU and GPU
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Table 1. Comparation of computing power between CPU and GPU
Computingpower CPU(i7-4790K) GPU1(GTX 1060) GPU2(RTX2060)
S /10¹² 0.58 3.85 5.24
R₁ /(10⁹ s^-1) 5
R₂ /(10¹² ${s^{-}}^{1}$ ) 37

Table 2. Experimental specifications of holograms
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Table 2. Experimental specifications of holograms
Parameter Value
Hologram resolution /(pixel×pixel) 2048×2048
Hologram pixel pitch /μm 3.74
Hologram size /(mm×mm) 7.66×7.66
Light wavelength /nm 638
Diffraction distance /mm 600

Table 3. Running time of ray-tracing algorithm for 3D models with different sizes unit: s
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Table 3. Running time of ray-tracing algorithm for 3D models with different sizes unit: s
Model Model width of 10mm Model width of 15mm Model width of 20mm
Plane (10mm×10mm) 8.61 9.62 11.05
Cow (10mm×6mm) 8.08 8.44 8.91
Teapot (10mm×4.9mm) 8.06 8.38 8.81

Table 4. Running time of each algorithm unit: s
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Table 4. Running time of each algorithm unit: s
Model Point source algorithm Ray-tracing algorithm
CPU GPU2 GPU1 GPU2
Plane 313.07 5.61 29.54 8.61
Cow 1214.73 21.65 29.17 8.08
Teapot 4999.91 92.89 29.17 8.06

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Minyuan Sun, Yuan Yuan, Yong Bi, Jianying Zhu, Shuo Zhang, Wenping Zhang. Ray-Tracing Hologram Generation Algorithm Based on OptiX Ray-Tracing Engine[J]. Laser & Optoelectronics Progress, 2020, 57(24): 240901

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