Resumen

LEAL NARVAEZ, Esmeide A.; LEAL NARVAEZ, Nallig E.; MERCADO CORONADO, Mario  y  MAESTRE PEREZ, Pablo. A slicing algorithm of points cloud for processing and copy of 3D objects. Prospect. [online]. 2018, vol.16, n.1, pp.60-66. ISSN 1692-8261.  https://doi.org/10.15665/rp.v16i1.1423.

In this article we propose a method that, based on a point cloud of a previously scanned object, calculates a set of slices along the orientation axis of the object, which is estimated using Principal Components Analysis (PCA). These slices can be printed on different types of materials (polystyrene, MDF, foam, cardboard, wood, etc.) to obtain a reproduction on a larger scale of the scanned object. Because these are points, work is facilitated to expand the size of the object using interpolation or another equivalent method. The proposed method does not need intermediate representations such as triangular meshes, since it operates directly on the point cloud. Comparisons of the proposed method were made with similar tools found in the market, showing their computational efficiency in data loading and display and visualization.

Palabras clave : Point cloud; Slices; PCA; 3D Digitalization; Rapid prototyping.

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