3D tooth semi-closed hole-filling algorithm based on the moving least-squares method

IF 6.1 Q1 Computer Science
Virtual Reality Intelligent Hardware Pub Date : 2026-06-01 Epub Date: 2026-07-09 DOI:10.1016/j.vrih.2026.04.002
Hongan LI, Kun YANG, Long PENG, Qingfang LIU
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引用次数: 0

Abstract

Large-area semi-closed holes on the lateral surfaces of tooth models can cause difficulties in subsequent orthodontic tasks, such as collision detection and finite element analysis, and may affect the accuracy and stability of further processing. To address this issue, this paper proposes a three-dimensional tooth semi-closed hole repair method based on the moving least squares technique. First, key points were manually selected to transform semi-closed holes into closed ones, and new vertices were uniformly distributed within the hole region to construct an initial triangular mesh. Subsequently, a mesh homogenization algorithm was applied to improve the quality of the generated triangular patches. Then, a moving least-squares surface-fitting approach was employed. By incorporating the point cloud density and Gaussian curvature, an adaptive vertex influence region was designed to iteratively adjust the vertex positions and better fit the target surface. Finally, the generated mesh was smoothed using the Laplacian-Beltrami operator to obtain a repaired surface consistent with the original geometry. The experimental results demonstrate that the proposed method achieves superior efficiency and repair quality compared to existing approaches.
基于移动最小二乘法的三维牙齿半封闭补孔算法
牙齿模型侧表面大面积的半封闭孔会给后续的正畸任务(如碰撞检测和有限元分析)带来困难,并可能影响进一步加工的精度和稳定性。针对这一问题,本文提出了一种基于移动最小二乘技术的三维牙齿半闭孔修复方法。首先,人工选择关键点将半封闭孔洞转化为封闭孔洞,并在孔洞区域内均匀分布新顶点,构建初始三角形网格;随后,采用网格均匀化算法提高生成的三角块的质量。然后,采用移动最小二乘曲面拟合方法。结合点云密度和高斯曲率,设计自适应顶点影响区域,迭代调整顶点位置,更好地拟合目标曲面。最后,使用拉普拉斯-贝尔特拉米算子对生成的网格进行光滑处理,得到与原始几何形状一致的修复曲面。实验结果表明,与现有方法相比,该方法具有更高的修复效率和修复质量。
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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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