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

机译:自由形状物体三维表面孔轮廓上3D链码的自动计算方法

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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.
机译:三维数字模型中与信息缺失相关的孔或异常的填充过程意味着需要人工干预以选择要校正的孔。使这样的过程自动化需要表征模型表面中的孔的轮廓。最近的工作仅限于使用曲线,扭转和曲率的微分几何特性进行此表征。其他特征,例如轮廓对称性和与预定义的几何形状的相似性,与人类专家对孔的分类具有重大意义。这些特性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3D模型表面的孔轮廓的非结构化点序列中获取3D链码表示的方法。这近似于NURBS曲线,以平滑孔的轮廓并使数据中的噪声影响最小化。然后使用Bresenham算法通过尺寸为3×3×3的数组构造点。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行为,构造了点集,并允许有效地获得链码表示。

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