This letter presents a lossless intra coder of the geometry information of voxelized point clouds. Instead of using the popular octree decomposition, the proposed method views the point cloud geometry as an array of bi-level images, and it is inspired by well-known techniques for coding this type of images. This array is encoded using a dyadic decomposition that recursively splits the array into two arrays of half its size, transmitting the occupancy information of each smaller array. Context adaptive arithmetic coding, using both 2D and 3D contexts, is used to achieve efficient compression. Results show that the proposed method outperforms all state-of-the-art intra coders on the public available point cloud datasets tested.

中文翻译：

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使用二元分解的点云几何的帧内压缩

这封信提出了体素化点云几何信息的无损帧内编码器。所提出的方法不是使用流行的八叉树分解，而是将点云几何视为一个双层图像的数组，它受到用于编码此类图像的众所周知的技术的启发。该数组使用二元分解进行编码，该分解将数组递归地分成两个大小一半的数组，传输每个较小数组的占用信息。上下文自适应算术编码，使用 2D 和 3D 上下文，用于实现高效压缩。结果表明，所提出的方法在测试的公共可用点云数据集上优于所有最先进的帧内编码器。