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首页> 外文会议>Mathematics of Data/Image Pattern Recognition, Compression and Encryption with Applications IX >A Skinning Prediction Scheme for Dynamic 3D Mesh Compression
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A Skinning Prediction Scheme for Dynamic 3D Mesh Compression

机译：动态3D网格压缩的蒙皮预测方案

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摘要

This paper presents a new prediction-based compression technique for dynamic 3D meshes with constant connectivity and time-varying geometry. The core of the proposed algorithm is a skinning model used for motion compensation. The mesh is first partitioned within vertex clusters that can be described by a single affine motion model. The proposed segmentation technique automatically determines the number of clusters and relays on a decimation strategy privileging the simplification of vertices exhibiting the same affine motion over the whole animation sequence. The residual prediction errors are finally compressed using a temporal-DCT representation. The performances of our encoder are objectively evaluated on a data set of eight animation sequences with various sizes, geometries and topologies, and exhibiting both rigid and elastic motions. The experimental evaluation shows that the proposed compression scheme outperforms state of the art techniques such as MPEG-4/AFX, Dynapack, RT, GV, MCGV, TDCT, PCA and RT compression schemes.
机译：本文针对具有恒定连接性和时变几何的动态3D网格，提出了一种基于预测的新压缩技术。该算法的核心是用于运动补偿的皮肤模型。网格首先在可以由单个仿射运动模型描述的顶点簇内划分。所提出的分割技术会自动确定聚类的数量，并采用抽取策略进行中继，从而简化了在整个动画序列中表现出相同仿射运动的顶点的简化过程。最终，使用时间DCT表示压缩残余预测误差。我们的编码器的性能是根据八个动画序列的数据集进行客观评估的，这些动画序列具有不同的大小，几何形状和拓扑结构，并表现出刚性和弹性运动。实验评估表明，提出的压缩方案优于诸如MPEG-4 / AFX，Dynapack，RT，GV，MCGV，TDCT，PCA和RT压缩方案等最新技术。

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