›› 2020, Vol. 26 ›› Issue (第4): 970-979.DOI: 10.13196/j.cims.2020.04.011
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刘晨燕1,敬石开1+,张伟1,2,赵芳垒1
基金资助:
Abstract: To balance the voxel number and surface fineness of voxel model,a refinement method for solid models was proposed.The surface voxels of the low-resolution uniform model were divided firstly,and sub-voxels not intersecting any triangle were marked.Boundary state constraints method was used to determine whether a marked voxel was inside or outside the model.Neighbor searching scheme across different octree nodes was achieved by encoding rules,which could realize multi-level refinement.The result showed that starting from the low-resolution voxel model,the proposed method could produce accurate high-resolution model with fewer voxels.
Key words: surface refinement, multi-scale resolution, voxelization, boundary state constraint algorithm
摘要: 为了平衡体素模型的体素数量与精细度,提出一种实体模型体素加密细化算法。该算法对低分辨率均一体素模型的表面体素进行切分,标记与三角面不相交的体素,并运用边界状态传递判定标记体素的内外位置。通过编码不同八叉树的节点,并进行跨八叉树快速邻居节点搜寻,实现多级加密细分。实验结果表明,该算法可以以低分辨率模型为基础,精确地获得体素单元少的高分辨率模型。
关键词: 表面细分, 多分辨率, 体素化, 边界状态约束算法
CLC Number:
TP391.7
刘晨燕,敬石开,张伟,赵芳垒. 运用边界状态约束的表面体素加密细分算法[J]. 计算机集成制造系统, 2020, 26(第4): 970-979.
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URL: http://www.cims-journal.cn/EN/10.13196/j.cims.2020.04.011
http://www.cims-journal.cn/EN/Y2020/V26/I第4/970