体素模型的基于线结构

Fan Jiangxin, Jing Shikai, Chen Lei, Li Tianren, Shi Zefang, H. Zhijun
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引用次数: 0

摘要

体素模型将实体模型离散化为体素,可以表示模型的局部物理属性,如材料、颜色、材质等。针对体素模型数据量大导致运行效率低、占用大量存储空间的问题,本文提出了基于线的体素模型结构。在这种结构中,体素模型被视为由体素组成的有序线集。它建立独立体素的相关性。基于该结构,本文实现了体素批量运算方法,并提出了体素数据快速索引功能,提高了体素模型的运算效率。然后利用空间中每个位置的状态来表示体素在该位置是否存在,提出了体素模型数据的压缩和解压缩方法。实现了对大数据体素模型的有效压缩,并提供了模型的快速预览功能,减少了体素模型的存储空间。通过实验验证了本文方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Line-Based Structure for Voxel Model
The voxel model discretizes the solid model with voxels, and can represent the local physical properties of the model such as materials, colors, and materials. For the problem of having low operation efficiency and taking up a lot of storage space caused by the huge amount of voxel model data, this paper proposes a Line-Based Structure for the voxel model. In this structure, the voxel model is treated as an ordered set of Lines, which is formed of voxels. It builds the correlation of independent voxels. Based on this structure, this paper achieves a voxel batch operation method and proposed voxel data fast indexing function, improving the operation efficiency of the voxel model. Then using the state of each position in the space to represent whether the voxel exists in that position, the voxel model data compressing and decompressing methods are proposed. This achieves effective compression of large data voxel models and provides a quick preview function of the model, reducing the voxel model storage space. The effect of the method in this paper is verified through experiments.
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