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A depth map refinement algorithm for 2D-to-3D conversion

机译:用于2D到3D转换的深度图细化算法

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For showing 2D video contents on 3DTVs, 2D-to-3D conversion is required to convert 2D contents to 3D ones. In general, the conversion process consists of depth map generation, which estimates the 3D geometry of the scene, and rendering, which produces output stereo images. We propose a depth map refinement algorithm which uses adaptive decimation and guided interpolation to refine the depth map. The proposed approach eliminates unnecessary textures and keeps object boundaries on the depth map. In the refined depth map, the transition of depth values within an object is smooth, the object boundaries on the depth map are aligned to those on the input image, and the foreground can be clearly separated from the background. These characteristics on the depth map help to achieve better 3D visual perception. Compared to the state-of-the-art approaches, the blurriness and object boundary alignment are easier to be adjusted by the proposed two-stage operations, and the computational complexity of the proposed algorithm is much lower.
机译:为了在3DTV上显示2D视频内容,需要2D到3D转换才能将2D内容转换为3D内容。通常,转换过程包括深度图生成和渲染,深度图生成用于估计场景的3D几何形状,渲染用于生成输出立体图像。我们提出了一种深度图细化算法,该算法使用自适应抽取和引导插值来细化深度图。所提出的方法消除了不必要的纹理,并在深度图上保留了对象边界。在精细的深度图中,对象内的深度值的过渡是平滑的,深度图上的对象边界与输入图像上的对象边界对齐,并且前景可以与背景清晰地分开。深度图上的这些特征有助于实现更好的3D视觉感知。与最新技术相比,所提出的两阶段操作更易于调整模糊度和对象边界对齐,并且所提出算法的计算复杂度要低得多。

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