Connectivity-Guided Predictive Compression of Dynamic 3D Meshes
Connectivity-Guided Predictive Compression of Dynamic 3D Meshes
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DOI：
10.1109/icip.2006.312961
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发表时间：
2006-10
期刊：
影响因子：
--
通讯作者：
N. Stefanoski;J. Ostermann
中科院分区：
文献类型：
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作者：
N. Stefanoski;J. Ostermann
我们引入了一种有效的算法来实时压缩时间一致的动态 3D 网格。该算法使用网格连接来确定帧内顶点位置的压缩顺序。仅使用最后解码的帧和部分解码的当前帧进行预测，以帧到帧的方式执行压缩。遵循预测编码范例，利用顶点位置之间的局部时间和局部空间依赖性。在此框架中，我们提出了一种新颖的角度保持预测器，并根据其他最先进的预测器评估其性能。结果表明，所提出的算法比当前压缩时间一致的动态 3D 网格的现有技术提高了 25%。
We introduce an efficient algorithm for real-time compression of temporally consistent dynamic 3D meshes. The algorithm uses mesh connectivity to determine the order of compression of vertex locations within a frame. Compression is performed in a frame to frame fashion using only the last decoded frame and the partly decoded current frame for prediction. Following the predictive coding paradigm, local temporal and local spatial dependencies between vertex locations are exploited. In this framework we present a novel angle preserving predictor and evaluate its performance against other state of the art predictors. It is shown that the proposed algorithm improves up to 25% upon the current state of the art for compression of temporally consistent dynamic 3D meshes.