支持Gpgpu的3D伪立体可视化
3D Pseudo Stereo Visualization with Gpgpu Support
摘要：
本文讨论了一个计算机系统的研究，用于创建3D伪立体图像和视频使用硬件和软件支持加速合成过程的基础上，通用图形处理单元（GPGPU）技术。基于作者先前提出的3D伪立体合成的一般策略，计算统一设备架构师（CUDA）方法考虑了3D伪立体合成的主要实现阶段：（i）实际实现研究;（ii）获得图像的合成特性;（iii）使用图形处理单元（GPU）的超高清（UHD）4K分辨率视频。在GPU的评估系统上进行4K内容测试的结果显示，图像和视频的平均加速分别为60.6倍和6.9倍。研究结果与先前确定的处理4K图像帧的预测一致。他们正在确认使用现代图形处理单元/图形处理集群（GPU/GPC）的强大支持实时的合成3D伪立体算法的可能性。
英文摘要：
This article discusses the study of a computer system for creating 3D pseudo-stereo images and videos using hardware and software support for accelerating a synthesis process based on General Purpose Graphics Processing Unit (GPGPU) technology. Based on the general strategy of 3D pseudo-stereo synthesis previously proposed by the authors, Compute Unified Device Architect (CUDA) method considers the main implementation stages of 3D pseudo-stereo synthesis: (i) the practical implementation study; (ii) the synthesis characteristics for obtaining images; (iii) the video in Ultra-High Definition (UHD) 4K resolution using the Graphics Processing Unit (GPU). Respectively with these results of 4K content test on evaluation systems with a GPU the acceleration average of 60.6 and 6.9 times is obtained for images and videos. The research results show consistency with previously identified forecasts for processing 4K image frames. They are confirming the possibility of synthesizing 3D pseudo-stereo algorithms in real time using powerful support for modern Graphics Processing Unit/Graphics Processing Clusters (GPU/GPC).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
