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Feature Line Extraction of the Triangular Mesh Model Based on Curvature and PCA

机译:基于曲率和PCA的三角网格模型特征线提取

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A method of feature line extraction from triangular mesh model is presented. Firstly, initial feature point is manually specified based on feature points extraction from triangular mesh model. Then begin with initial feature point, Principal Component Analysis (PCA) method is applied to analyze primary direction of special feature region of feature points. Search the feature point which is furthest from the center of mass in the primary direction and it is chosen as subsequent feature point. Iteratively, record the feature point sequence in order. Finally, use three order non-uniform B-spline curve to fit and construct feature line. The experimental results demonstrate that the proposed method in this paper is efficient.
机译:提出了三角网格模型的特征线提取方法。首先,通过从三角网格模型提取的特征点提取手动指定初始特征点。然后从初始特征点开始,应用主成分分析(PCA)方法来分析特征点特殊特征区域的主要方向。搜索从主要方向上的质量中心最远的特征点,并且选择作为后续特征点。迭代地,按顺序记录特征点序列。最后,使用三阶非均匀B样条曲线适合和构建特征线。实验结果表明,本文中所提出的方法是有效的。

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