摘要
为了对三维引擎动画中的压缩技术进行优化,提出了一种基于时域、空域双重聚类的三维动画压缩算法.该算法创新性地把曲率和绕度作为运动量的量化指标融入聚类距离计算公式,选取常见的三维动画模型Human和Cat,使用该算法与其他三维动画压缩算法进行压缩与重构实验.对比结果发现,在两个动画模型中,达到相同模型压缩率时,使用该算法的模型重构误差率最小,而在同一模型重构误差率时,该算法的压缩率又远远小于其他算法,在小压缩率条件下,该算法的重构误差率较对比算法降低了至少45%,提出的新型压缩算法对三维引擎动画的压缩率、重构误差有一定的优化效果.
In order to optimize the compression technology,one of the key technologies of 3D engine animation,a 3D animation compression algorithm based on time-domain and spatial dual clustering was proposed.The algorithm innovatively integrated the curvature and the degree of rotation into the clustering distance calculation formula.Common 3D animation models,human and CAT,were selected to conduct compression and reconstruction experiments with this algorithm and other 3D animation compression algorithms.The comparison results showed that in the two animation models,when the compression rate of the same model was reached,the error rate of the model reconstruction using this algorithm was the smallest,and when the error rate of the same model reconstruction was reached,the compression rate of this algorithm was much smaller than that of other algorithms.Therefore,it can be shown that the new compression algorithm proposed in this study had a certain optimization effect on the compression rate and reconstruction error of 3D engine animation.
作者
丁磊
DING Lei(School of Computer Engineering,Anhui Wenda University of Information Engineering,Hefei 231201,China)
出处
《兰州文理学院学报（自然科学版）》
2022年第3期55-59,共5页
Journal of Lanzhou University of Arts and Science(Natural Sciences)
基金
2021年安徽文达信息工程学院校级科研重点项目(XZR2021A10)。
关键词
三维引擎动画
关键技术
优化
时域聚类
空域分割
压缩
3D engine animation
key technology
optimization
time-domain clustering
airspace segmentation
compression
