Automatic method for calculation of 3D chain-codes on contours of holes in three dimensional surfaces of free-form objects

P. Atencio, J. Branch, G. Sánchez
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Abstract

The filling process of holes or anomalies related to absence of information in three-dimensional digital models implies human intervention for selecting holes to be corrected. Automate such process requires the characterization of contours of holes in model surface. Recent works are restricted to do this characterization using differential geometry properties of curves, torsion and curvature. Other features such as contour symmetry and similarity with predefined geometric shapes are of great relevance for hole-classification by the human expert. These characteristics are not extractable by differential geometry of curves, thus require other types of representations. This paper presents a method to obtain a representation of 3D chain code from an unstructured sequence of points of a hole contour in the surface of a 3D model. This approximates a NURBS curve to smooth the contour of the hole and minimize the effect of noise in the data. Then use Bresenham algorithm for structuring the points by an array of dimension 3×3×3. Finally, the chain code is calculated by an indexing algorithm. The results show this method preserves the shape and contour behavior, structures the point set and allow to obtain efficiently the chain code representation.
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自由曲面上孔轮廓的三维链码自动计算方法
在三维数字模型中,由于信息缺失导致的孔洞填充过程或异常需要人为干预来选择待校正的孔洞。自动化这一过程需要表征模型表面孔的轮廓。最近的工作仅限于使用曲线、扭转和曲率的微分几何性质来进行这种表征。其他特征,如轮廓对称和与预定义几何形状的相似性,对人类专家的孔分类有很大的相关性。这些特征不能通过曲线的微分几何来提取,因此需要其他类型的表示。本文提出了一种从三维模型表面孔轮廓点的非结构化序列中获得三维链码表示的方法。这近似于NURBS曲线,以平滑孔的轮廓,并尽量减少数据中噪声的影响。然后使用Bresenham算法通过维度为3×3×3的数组来构造点。最后,通过索引算法计算链码。结果表明,该方法保留了形状和轮廓特征,构造了点集,有效地获得了链码表示。
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