Spatio-temporal multi-view synthesis for free viewpoint television

Katta Phani Kumar, Sumana Gupta, K. Venkatesh
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引用次数: 6

Abstract

Interest in view synthesis is growing rapidly as it has tremendous applications in free viewpoint television (FTV), 3DTV, games, virtual reality etc. The main problem of view synthesis is that the virtual view contains holes in disoccluded regions. We propose a hole-filling algorithm to fill the disocclusion holes in the virtual view by exploiting the temporal information of the reference views. We also propose an algorithm to avoid the shining of background pixel through a foreground object in the virtual view due to the absence of foreground pixel information. We generate different zoomed views of the scene by applying the concept of view synthesis and observe the variation of holes with different zoom scales. Finally, we propose and demonstrate depth based image segmentation to facilitate parallel computing. Experimental results show that good quality virtual views are generated with high PSNR and with fewer artifacts.
自由视点电视的时空多视点合成
由于视图合成在自由视点电视(FTV)、3d电视、游戏、虚拟现实等领域有着巨大的应用,人们对视图合成的兴趣正在迅速增长。视图合成的主要问题是虚拟视图在未遮挡的区域包含孔洞。我们提出了一种利用参考视图的时间信息来填充虚拟视图中的咬合洞的算法。我们还提出了一种算法,以避免由于前景像素信息的缺失而导致虚拟视图中背景像素穿过前景物体的闪光现象。我们运用视图合成的概念生成不同的场景缩放视图,并观察不同缩放尺度下孔洞的变化。最后,我们提出并演示了基于深度的图像分割,以促进并行计算。实验结果表明,该方法生成的虚拟视图具有较高的信噪比和较少的伪影。
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