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24 February 2021 Real-time computer-generated integral image based on GPU-driven cross perspective rendering pipeline
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Abstract

It is insufficiently powerful to compute multi-view images at a high enough frame or data rate to support high quality dynamic three-dimensional displays with the current computer software and hardware. According to the correspondence between lens position and elemental image, a real-time computer-generated content generation method for integral imaging based on cross perspective is presented. A GPU-driven rendering pipeline (GDRP) with geometry instancing and instance culling technique is designed, and the number of triangles processed in the rasterization stage is reduced greatly. Several virtual dynamic scenes including various materials and millions of vertices are used to verify the performance of the GDRP method in the experiment. Experimental results show that the frame rate can reach 60 fps with 3840  ×  2160 resolution.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2021/$28.00 © 2021 SPIE
Yanxin Guan, Xinzhu Sang, Shujun Xing, Yuanhang Li, Yingying Chen, Peng Wang, Duo Chen, and Binbin Yan "Real-time computer-generated integral image based on GPU-driven cross perspective rendering pipeline," Optical Engineering 60(2), 023105 (24 February 2021). https://doi.org/10.1117/1.OE.60.2.023105
Received: 24 November 2020; Accepted: 29 January 2021; Published: 24 February 2021
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