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Grow Fold: Compression of Tetrahedral Meshes

机译:成长和折叠:压缩四面体网格

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Standard representations of irregular finite element meshes combine vertex data (sample coordinates and node values) and connectivity (tetrahedron-vertex incidence). Connectivity specifies how the samples should be interpolated. It may be encoded as four vertex-references for each tetrahedron, which requires 128m bits where m is the number of tetrahedra in the mesh. Our 'Grow&Fold' format reduces the connectivity storage down to 7 bits per tetrahedron: 3 of these are used to encode the presence of children in a tetrahedron spanning tree; the other 4 constrain sequences of 'folding' operations, so that they produce the connectivity graph of the original mesh. Additional bits must be used for each handle in the mesh and for each topological 'lock' in the tree. However, as our experiments with a prototype implementation show, the increase of the storage cost due to this extra information is typically no more than 1-2%. By storing vertex data in an order defined by the tree, we avoid the need to store tetrahedron-vertex references and facilitate variable length coding techniques for the vertex data. We provide the details of simple, loss-less compression and decompression algorithms.
机译:不规则有限元网格的标准表示组合顶点数据(样本坐标和节点值)和连接(四面体 - 顶点入射)。 Connectivity指定样本应该如何插入。它可以编码为每个四面体的四个顶点引用,这需要128m位,其中m是网格中的四面体的数量。我们的“成长且折叠”格式将连接存储器降低到每四面体的7位:3中的3种用于编码在四面体跨越树中的儿童的存在;另一个4限制“折叠”操作的序列,使它们产生原始网格的连接图。必须将其他比特用于网格中的每个句柄以及树中的每个拓扑“锁定”。然而,由于我们的实验与原型实施节目,由于该额外信息导致的存储成本的增加通常不超过1-2%。通过以由树定义的顺序存储顶点数据,我们避免了存储Tetrahedron-Vertex参考并促进顶点数据的可变长度编码技术。我们提供简单,损失压缩和解压缩算法的细节。

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