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Artifact reduction using reliability reasoning for image generation of FTV

机译:使用可靠性推理进行FTV图像生成的伪像减少

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摘要

In this paper, we present a new view synthesis method in multiview camera configurations of Free viewpoint TV (FTV) where potential depth errors are considered. The emphasis is on the artifacts eliminating for photorealistic synthesis especially near object boundaries. In contrast to conventional techniques which ignore geometry errors, we first categorize the artifact cases and depth modes. Furthermore, this paper infers the complementarity principle of the artifacts from left and right references. This complementarity guarantees the effectiveness of our reliability-based synthesis. The reliability reasoning is crucial for artifacts reduction. The reliable and unreliable areas from different views can be correctly labeled. Then artifacts caused by unreliable pixels from one reference can be replaced by the reliable pixels from the other reference. As a final result, artifacts of novel view are demonstrated to be significantly reduced on different multiview sequences.
机译:在本文中,我们提出了一种在自由视点电视(FTV)的多视图摄像机配置中考虑潜在深度误差的新视图合成方法。重点在于消除伪影,尤其是在物体边界附近的伪影合成。与忽略几何误差的常规技术相比,我们首先对伪影情况和深度模式进行分类。此外,本文从左右参考文献中推断出伪像的互补原理。这种互补性保证了我们基于可靠性的综合的有效性。可靠性推理对于减少伪像至关重要。可以正确标记不同视图中可靠和不可靠的区域。然后,可以将来自一个参考的不可靠像素引起的伪影替换为来自另一个参考的可靠像素。最终结果表明,在不同的多视图序列上,新颖视图的伪像明显减少。

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