3D Pseudo Stereo Visualization with Gpgpu Support

TL;DR

This paper presents a GPU-accelerated method for creating real-time 3D pseudo-stereo images and videos, achieving significant speedups and supporting UHD 4K resolution synthesis.

Contribution

The study introduces a CUDA-based implementation for 3D pseudo-stereo synthesis that enables real-time processing of 4K content with substantial acceleration.

Findings

Average acceleration of 60.6 times for images

Average acceleration of 6.9 times for videos

Successful synthesis of 4K pseudo-stereo content in real time

Abstract

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).