| 基于GPU加速的深度图像绘制 |
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| 引用本文： | 郑专,安平,张秋闻,张兆杨.基于GPU加速的深度图像绘制[J].电视技术,2012,36(11):11-14,26. |
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| 作者姓名： | 郑专 安平 张秋闻 张兆杨 |
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| 作者单位： | 1. 上海大学通信与信息工程学院,上海,200072
2. 上海大学通信与信息工程学院,上海 200072;新型显示技术及应用集成教育部重点实验室,上海 200072 |
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| 基金项目： | 国家自然科学基金重点项目，上海市科委重点项目，上海市教委科研创新重点项目 |
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| 摘 要： | 基于深度图像的绘制(DIBR)广泛应用于虚拟视点的合成,但是目前实现DIBR的算法复杂度都比较高,很难较实时地应用到3DTV系统中。采用单路纹理图像和其对应的深度图像进行虚拟视点的合成,在图形处理单元(GPU)上应用CUDA(Compute Unified Device Architecture)技术实现了基于深度图像的绘制。通过在NVIDIA Telsa C2050图形卡上运行,绘制分辨力1 024×768和640×480的图像速率分别达到了15 f/s(帧/秒)和24 f/s,分别能够准实时或实时地应用到3DTV系统中;同时本文的绘制方法有效地节约了传输带宽,绘制图像的主观质量良好。
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| 关 键 词： | 基于深度图像绘制(DIBR) GPU加速 三维电视(3DTV) CUDA |
Depth-Image-Based Rendering Based on GPU-accelerated |
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| ZHENG Zhuan
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AN Ping
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ZHANG Qiuwen
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ZHANG Zhaoyang.Depth-Image-Based Rendering Based on GPU-accelerated[J].Tv Engineering,2012,36(11):11-14,26. |
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| Authors: | ZHENG Zhuan AN Ping ZHANG Qiuwen ZHANG Zhaoyang |
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| Affiliation: | 1,2(1.School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China; 2.Key Laboratory of Advanced Display and System Application of the Ministry of Education,Shanghai 200072,China) |
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| Abstract: | Depth-Image-Based rendering is widely applied in virtual viewpoint synthesis,but at present the implementation of DIBR algorithm is too complex to be applied to the real-time3DTV system.A virtual viewpoint synthesis method which utilizes a single texture image with its corresponding depth map is presented in this paper.The proposed method is implemented on the graphics processing unit(GPU) through CUDA(Compute Unified Device Architecture) technology.Running on NVIDIA Telsa C2050 graphics card to render images with resolutions of 1 024×768 and 640×480,the proposed method reaches rates of 15 fps and 24 fps respectively.This method can be applied to less demanding real-time 3DTV system.Meanwhile it is not only effective in saving transmission bandwidth,but also achieves better rendering quality subjectively. |
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| Keywords: | Depth-Image-Based bendering GPU-accelerated 3DTV CUDA |
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