基于数据结构化的三维动画压缩方法研究

作者:Luo Guo-Liang; Wang He; Zhao Xin; Cao Yi-Qin; Huang Xiao-Sheng; Wu Chang-Xing; Xian Chu-Hua*
来源:Journal of Graphics, 2021, 42(2): 182-189.
DOI:10.11996/JG.j.2095-302X.2021020182

摘要

With the increasingly wide applications of 3D animation, the compression methods of 3D animation data have become significant for the technologies in data storage, transmission, and rendering. There are multiple efficient technologies for 2D image compression in the domain of computer vision. Based on the structural differences between t3D animation data and 2D image data, the improvement of the image compression algorithm was explored for a new method of 3D animation compression. Specifically, the optimal vertex sequence of the 3D model towards compression was first computed. Then, based on the classical image compression algorithm flow, the sub-block size optimization and the quantization matrix optimization was formulated to improve compression. Finally, with different types of animation, experimental results show that the optimized image compression algorithm can guarantee both effectiveness and efficiency for the compression. ? 2021 Editorial of Board of Journal of Graphics.

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