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基于GPU加速的深度图像绘制 被引量:3

Depth-Image-Based Rendering Based on GPU-accelerated
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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。 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 De- vice Architecture) technology. Running on NVIDIA Telsa C2050 graphics card to render images with resolutions of 1 024 × 768 and 640 × 480, the pro- posed 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.
出处 《电视技术》 北大核心 2012年第11期11-14,26,共5页 Video Engineering
基金 国家自然科学基金重点项目(60832003 61172096) 上海市科委重点项目(10510500500) 上海市教委科研创新重点项目(09ZZ90)
关键词 基于深度图像绘制(DIBR) GPU加速 三维电视(3DTV) CUDA Depth-Image-Based bendering GPU-accelerated 3DTV CUDA
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参考文献15

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二级参考文献5

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共引文献6

同被引文献29

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