View-dependent compression of 3D voxel models based on skeleton representation

In-Wook Song, Chang-Su Kim, Sang Uk Lee
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引用次数: 0

Abstract

We propose a view-dependent compression algorithm for 3D binary voxel models, based on the skeleton representation. An input model is first partitioned into several segments. The segmentation increases the number of skeleton points, requiring more bits than the original model. Therefore, we develop a remodeling algorithm, which reduces the number of skeleton points in each segment effectively without any loss of information. Each segment is then compressed with a context-based arithmetic coder. Before the transmission, the encoder is informed of the viewing parameters via feedback channel. Then, the encoder transmits visible segments in detail, while cutting off invisible segments. Simulation results show that the proposed algorithm requires much less bitrate than the conventional skeleton-based algorithm, while exhibiting faithful image quality.
基于骨架表示的三维体素模型的视相关压缩
我们提出了一种基于骨架表示的三维二进制体素模型的视相关压缩算法。首先将输入模型划分为几个部分。分割增加了骨架点的数量,比原始模型需要更多的比特。因此,我们开发了一种重构算法,该算法在不丢失任何信息的情况下有效地减少了每个片段中骨架点的数量。然后用基于上下文的算术编码器压缩每个片段。在传输之前,通过反馈通道将观看参数告知编码器。然后,编码器对可见段进行详细传输,对不可见段进行截断。仿真结果表明,与传统的基于骨架的算法相比,该算法所需的比特率要低得多,同时图像质量也很逼真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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