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Hierarchical Decomposition Of Depth Map Sequences For Representation Of Three-dimensional Dynamic Scenes

机译:表示三维动态场景的深度图序列的层次分解

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摘要

In this paper, we propose a new scheme to represent three-dimensional (3-D) dynamic scenes using a hierarchical decomposition of depth maps. In the hierarchical decomposition, we split a depth map into four types of images: regular mesh, boundary, feature point and number-of-layer (NOL) images. A regular mesh image is obtained by down-sampling a depth map. A boundary image is generated by gathering pixels of the depth map on the region of edges. For generating feature point images, we select pixels of the depth map on the region of no edges according to their influence on the shape of a 3-D surface, and convert the selected pixels into images. A NOL image includes structural information to manage the other three images. In order to render a frame of 3-D dynamic scenes, we first generate an initial surface utilizing the information of regular mesh, boundary and NOL images. Then, we enhance the initial surface by adding the depth information of feature point images. With the proposed scheme, we can represent consecutive 3-D scenes successfully within the framework of a multi-layer structure. Furthermore, we can compress the data of 3-D dynamic scenes represented by a mesh structure by a 2-D video coder.
机译:在本文中,我们提出了一种使用深度图的层次分解来表示三维(3-D)动态场景的新方案。在分层分解中,我们将深度图分为四种类型的图像:常规网格,边界,特征点和层数(NOL)图像。通过对深度图进行下采样可以获得常规的网格图像。通过在边缘区域上收集深度图的像素来生成边界图像。为了生成特征点图像,我们根据无边缘区域对3-D表面形状的影响选择深度图的像素,然后将所选像素转换为图像。 NOL图像包括用于管理其他三个图像的结构信息。为了渲染3D动态场景的帧,我们首先利用常规网格,边界和NOL图像的信息生成初始表面。然后,我们通过添加特征点图像的深度信息来增强初始表面。通过提出的方案,我们可以在多层结构的框架内成功地表示连续的3D场景。此外,我们可以通过2D视频编码器压缩由网格结构表示的3D动态场景的数据。

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