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Efficient Representation of Geometric Tree Models with Level-of-Detail Using Compressed 3D Chain Code

机译:使用压缩的3D链代码高效地表示几何树模型与细节水平

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In the paper, we present a method for space-efficient representation of geometric tree models, which are provided as skeletons with radii attached to individual branch segments. The proposed approach uses a new differential 3D chain code to encode orientation changes of consecutive branch segments, which allows optimizing chain code generation for increased compressibility while maintaining control over the model reconstruction error. The presented method is the first to encode the complete branching geometry including the branch radii and provides level-of-detail construction directly from the chain code. It is demonstrated that by using interpolative encoding of the resulting tree descriptors and radii sequences, the storage requirements for geometric description of a mixed all-aged forest can be reduced to less than 15 percent of its raw size while preserving the structural fidelity of tree models.
机译:在本文中,我们提出了一种用于几何树模型的节省空间效率表示的方法,其作为附加到各个分支段的半径的骨架提供。该方法使用新的差分3D链代码来编码连续分支段的方向变化,这允许优化链编码生成,以增加压缩性,同时保持对模型重建误差的控制。所提出的方法是编码包括分支半径的完整分支几何体的方法,并直接从链条代码提供详细级别。据证明,通过使用所得树描述符和半径序列的内插编码,混合的全年森林的几何描述的存储要求可以减少到其原始尺寸的小于15%,同时保持树模型的结构保真度。

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