基于改进的非刚性配准的三维网格序列压缩方法

旨在解决拓扑异构的三维网格序列的压缩问题,采用非刚性配准和视频帧间编码技术结合,提出双向多参考帧预测方案,构建了一种基于非刚性配准的针对拓扑异构的三维网格序列的压缩方法.该方法有效地利用三维网格序列的帧间相关性,降低存储代价.三维人脸网格序列压缩实验结果表明:与传统方法相比,压缩性能有很大提高.

Compressing 3 D Mesh Sequence Based on an Improved Non-rigid Registration

This paper aims to solve the problem of compressing 3 D mesh sequence with different connectivity. For a non-isomorphic 3D mesh sequence, there are both spatial correlations in each single mesh and temporal correlations between adjacent frames, which makes it insufficient for applying static 3D mesh compression algorithms to each single mesh. In this paper, a novel method for compressing 3D mesh sequence by using a technique of 3D human faces non-rigid registration was presented. By using the proposed registration algorithm on a 3D mesh sequence, the temporal redundancy of the mesh data was removed, thereby it reduced the storage cost drastically. In addition, the registration procedure with the inter-coding idea in video coding technique was combined. By adopting structure of bidirectional multiple reference frames, the efficiency of registration compared with previous work was improved. The experimental results show that better subjective and objective quality by applying the proposed compression method to 3D face mesh sequence can be obtained.