三维视频合成视图的边界滤波

Cheon Lee, Yo-Sung Ho
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引用次数: 30

摘要

当我们使用多视图图像及其深度图生成中间视点图像时,由于深度不连续周围的深度值误差,我们可能会在背景中产生非常烦人的边界噪声。本文提出了一种合成图像的边界滤波方法。在使用深度图定义边界噪声区域后,我们用其他参考图像的相应纹理信息替换它们。实验表明,该方法提高了合成的虚拟视点图像的视觉质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Boundary Filtering on Synthesized Views of 3D Video
When we generate an intermediate viewpoint image using multi-view images and their depth maps, we may have very annoying boundary noises in the background due to depth value errors around depth discontinuities. In this paper, we propose a boundary filtering method for synthesized images. After defining the boundary noise area using depth map, we replace them with corresponding texture information from the other reference image. Our experiments show that the proposed method improves visual quality of the synthesized virtual viewpoint images.
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