IEEE Trans Image Process. 2017 Aug;26(8):3886-3895. doi: 10.1109/TIP.2017.2707807. Epub 2017 May 24.
Dynamic point clouds are a potential new frontier in visual communication systems. A few articles have addressed the compression of point clouds, but very few references exist on exploring temporal redundancies. This paper presents a novel motion-compensated approach to encoding dynamic voxelized point clouds at low bit rates. A simple coder breaks the voxelized point cloud at each frame into blocks of voxels. Each block is either encoded in intra-frame mode or is replaced by a motion-compensated version of a block in the previous frame. The decision is optimized in a rate-distortion sense. In this way, both the geometry and the color are encoded with distortion, allowing for reduced bit-rates. In-loop filtering is employed to minimize compression artifacts caused by distortion in the geometry information. Simulations reveal that this simple motion-compensated coder can efficiently extend the compression range of dynamic voxelized point clouds to rates below what intra-frame coding alone can accommodate, trading rate for geometry accuracy.
动态点云是视觉通信系统的一个潜在新领域。已经有几篇文章讨论了点云的压缩,但很少有参考文献探讨时间冗余。本文提出了一种新的运动补偿方法,用于以低比特率对动态体素化点云进行编码。一个简单的编码器将每一帧的体素化点云分成体素块。每个块要么以帧内模式编码,要么用前一帧中块的运动补偿版本替换。该决策在率失真意义上进行优化。通过这种方式,对几何形状和颜色进行编码都会产生失真,从而降低比特率。采用环路内滤波来最小化由于几何信息失真而导致的压缩伪影。仿真表明,这种简单的运动补偿编码器可以有效地将动态体素化点云的压缩范围扩展到低于仅帧内编码所能容纳的速率,以几何精度换取速率。