Real-time Depth-Image-Based Rendering on GPU

被引：5

作者：

Sun, Zengzeng ^{[1
]}

Jung, Cheolkon ^{[2
]}

机构：

[1] Samsung Elect, SRC Xian DMC Lab SSG, Xian, Peoples R China

[2] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China

来源：

2015 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY | 2015年

关键词：

Depth-image-based rendering (DIBR); GPU; hole filling; parallel computing; real-time;

D O I：

10.1109/CyberC.2015.97

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose real-time depth-image-based rendering (DIBR) on GPU for 1280x720 resolution. We utilize depth adaptive preprocessing and super-resolution to achieve high-quality DIBR. Moreover, we employ GPU-based parallel computing to achieve real-time DIBR. Experimental results demonstrate that the proposed method achieves superior performance in comparison with the existing methods with respect to rendering quality and computing time.

引用

页码：324 / 328

页数：5

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