Registration and partitioning-based compression of 3-D dynamic data

Registration and partitioning-based compression of 3-D dynamic data
复制标题

3D 动态数据的基于配准和分区的压缩

DOI:
10.1109/tcsvt.2003.817625
复制
发表时间:
2003
期刊:
IEEE Trans. Circuits Syst. Video Technol.
影响因子:
--
通讯作者:
A. Kassim
A. Kassim
中科院分区:
--
文献类型:
--
作者:
S. Gupta;K. Sengupta;A. Kassim

文献摘要

被引文献

相似文献

复杂动画序列的生成和传输可以从用于处理与动态三维(3-D)模型相关联的大量数据的工具的可用性中大大受益。以前的作品在3-D动态压缩只考虑最简单的情况下,连接的变化不发生随着时间的推移。在本文中,我们提出了一种方法来压缩三维动态模型,其中的顶点数据和连接数据可以随时间而变化。使用我们的框架,3-D动画序列使用商业图形工具或使用范围扫描仪捕获的动态范围数据可以显着压缩。我们使用3-D注册,以确定在顶点数据的变化和连续帧之间的3-D几何形状的连接。接着,使用仿射运动参数和差分脉冲编码调制(DPCM)预测器对帧间运动进行编码。我们的工作是第一次利用帧之间的连接数据的时间相干性,并提出了一个详细的编码方案的3-D动态数据。我们还讨论了在压缩数据中插入I帧以获得更好的性能的问题。我们表明,我们的算法有一个更优越的上级的性能相比,现有的技术为顶点压缩和连接压缩的3-D动态数据集。
Generation and transmission of complex animation sequences can benefit substantially from the availability of tools for handling large amounts of data associated with dynamic three-dimensional (3-D) models. Previous works in 3-D dynamic compression consider only the simplest situation where the connectivity changes do not occur with time. In this paper, we present an approach for compressing 3-D dynamic models in which both the vertex data and the connectivity data can change with time. Using our framework, 3-D animation sequences generated using commercial graphics tools or dynamic range data captured using range scanners can be compressed significantly. We use 3-D registration to identify the changes in the vertex data and the connectivity of the 3-D geometry between successive frames. Next, the interframe motion is encoded using affine motion parameters and the differential pulse coded modulation (DPCM) predictor. Our work is the first to exploit the temporal coherence in the connectivity data between frames and presents a detailed encoding scheme for 3-D dynamic data. We also discuss the issue of inserting I-frames in the compressed data for better performance. We show that our algorithm has a far superior performance when compared with existing techniques for both vertex compression and connectivity compression of 3-D dynamic datasets.