一种新的基于概率掩模的虚拟视图合成共孔填充算法

M. Ko, Dongwook Kim, Jisang Yoo
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引用次数: 3

摘要

提出了一种基于概率掩模的虚拟视图合成共孔填充算法。在该算法中,我们尝试将螺旋加权平均算法和梯度搜索算法的优点结合起来。螺旋加权平均算法利用深度信息很好地保持了每个目标的边界,梯度搜索算法能够保留细节。我们还尝试使用概率掩模来减小填充共空穴周围存在的闪烁缺陷。实验结果表明,该算法的性能明显优于传统算法。
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A new common-hole filling algorithm for virtual view synthesis with a probability mask
In this paper, a new common-hole filling algorithm with a probability mask for a virtual view synthesis is proposed. In the proposed algorithm, we try to combine strong points of both the spiral weighted average algorithm and the gradient searching algorithm. The spiral weighted average algorithm keeps the boundary of each object well by using depth information and the gradient searching algorithm is able to preserve details. We also try to reduce the flickering defect existing around the filled common-hole region by using a probability mask. The experimental results show that the proposed algorithm performs much better than conventional algorithms.
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