Dynamic data reshaping for 3D mesh animation compression

• DOI: 10.1007/s11042-021-10629-1
• Publication Date: 2021-03-01T09:03:11Z
• Authors: Guoliang Luo; Xin Zhao; Qiang Chen; Zhiliang Zhu; Chuhua Xian
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Effective compression of 3D mesh animation data has been increasingly used in a variety of multimedia systems including virtual reality, gaming, remote transmission, display and storage. In this work, we propose a spectral clustering-based dynamic reshaping model that is performed on spatio-temporal segments to enhance the compression of 3D mesh sequences. After the lossy compression of spatio-temporal segments through Principal Component Analysis (PCA), we first compute a spectral clustering of all the PCA elements. Then, we introduce three novel reshaping schemes (namely, Row-wise matrix scheme, Arch-wise matrix scheme, and Curl-wise matrix scheme) of the PCA elements within each cluster. Through extensive experiments and comparisons, we show our model can substantially improve the compression performances on various 3D mesh sequences.