论文标题
点云压缩的分数运动估计
Fractional Motion Estimation for Point Cloud Compression
论文作者
论文摘要
通过在视频编码中的分数像素运动成功的激励，我们探索了动态3D点云的颜色属性的分数 - 素分辨率的运动估计设计。我们提出的基于块的分数 - 体素运动估计方案考虑了点云和视频之间的基本差异，即在框架内和跨帧中体素分布的不规则性。我们表明，运动补偿可以从较高的分辨率参考和分数精度提供的更准确的位移中受益。我们提出的方案显着优于仅使用整数运动的可比方法。所提出的方案可以与使用变换的最新系统相结合并增加了可观的增长，例如区域自适应图傅立叶变换和区域自适应HAAR变换。
Motivated by the success of fractional pixel motion in video coding, we explore the design of motion estimation with fractional-voxel resolution for compression of color attributes of dynamic 3D point clouds. Our proposed block-based fractional-voxel motion estimation scheme takes into account the fundamental differences between point clouds and videos, i.e., the irregularity of the distribution of voxels within a frame and across frames. We show that motion compensation can benefit from the higher resolution reference and more accurate displacements provided by fractional precision. Our proposed scheme significantly outperforms comparable methods that only use integer motion. The proposed scheme can be combined with and add sizeable gains to state-of-the-art systems that use transforms such as Region Adaptive Graph Fourier Transform and Region Adaptive Haar Transform.
