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Dynamic data reshaping for 3D mesh animation compression
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DOI：10.1007/s11042-021-10629-1.png)
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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.
Keyword:
3D mesh sequence
Compression
Dynamic reshaping
Spatio-temporal segmentation
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3
论文数:
2.0W
被引数:
3.2W
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Eigenspace compression: dynamic 3D mesh compression by restoring fine geometry to deformed coarse models特征空间压缩: 通过将精细几何恢复到变形的粗糙模型来进行动态3D网格压缩
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