摘要： 目前主流曲面分片构造法大多无法直接应用于具有尖锐特征的目标表面重建。针对该问题,提出一种新的曲面分片构造方法。通过建立目标表面采样点的空间三角网格模型,对网格模型进行特征检测,根据特征检测结果计算网格顶点法向量集,并基于顶点空间坐标和法向量集进行分片二次曲面插值,实现目标表面三维重建。实验结果表明,该方法重建表面达到C0连续,满足可视化等应用要求,相对主流算法,信噪比提高2倍以上,均方误差至少降低1个数量级。
关键词:
表面重建,
分片重建,
特征识别,
尖锐边缘,
K-均值聚类
Abstract: Current mainstream methods for mesh piecewise reconstruction cannot directly be used to reconstruct objects with sharp edges,a method for mesh piecewise reconstruction based on feature detection is proposed.It builds the object’s triangular grid model,and performs an operation of feature recognition on the grid model,and calculates the normal vector set of each grid vertex,Based on the vertexes’ positions and normal vector sets,it implements a quadratic interpolation on each triangle patch,so the 3D reconstruction of the object is achieved.Experimental results show that it can attain C0 continuity,which meets the need of visualization.Compared with that of the mainstream methods,its Signal-to-Noise Ratio(SNR) is more
than 2 times bigger and its MSE is decreased one order of magnitude at least.
Key words:
surface reconstruction,
piecewise reconstruction,
feature recognition,
sharp edges,
K-means clustering
中图分类号: