Reconstruction of Polygonal Faces from Large-Scale Point-Clouds of Engineering Plants

Abstract

This paper presents current research results that concern the generation of foot bio-models for performing finite element analysis for footwear design evaluation and optimization. The foot bio-models produced so far include complete geometric models of the foot bones along with their corresponding material properties. For the generation of the bones geometry a dense set of CT scan data is utilized. Four different approaches for the reconstruction of the corresponding 3D surfaces are presented and discussed. A preliminary FE analysis for simulating foot/ground interaction has been carried out to assert the performance of the chosen material type and properties. Finally, a cloud infrastructure is introduced to provide to the end-users a web-based interface for performing simulation scenarios concerning foot/footwear and foot/ground interaction.

Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation

“…Recently, many authors have improved the efficiency of the abovementioned methods. For example, Masuda et al [32] have developed a method for a reconstruction of polygonal faces from the point-cloud and mapped each point-cloud onto a 2D image for detecting the bounded planar faces. Ma et al [51] have developed an umbrella facet matching algorithm to construct the watertight manifold triangle meshes from the point-cloud.…”

“…Thus, RE is mainly used for preserving artistic and culturally significant objects by creating the replicas or manufacturing another object based on the physic of the existing object for which the solid CAD model is not available. See [10,11,[31][32][33][34][35] for more details regarding RE. Nevertheless, as described in Figure 2, when a solid CAD model is not available in the first place, one can rely on the most primitive representation of an object, i.e., a point-cloud, and execute the steps shown in Figure 1.…”

Geometric Modeling and 3D Printing Using Recursively Generated Point Cloud

“…The computational complexity and the respective solutions have been studied by numerous authors, as reported in [38]. For the sake of better understanding, the following articles can be noted that show the computational details regarding raster to vector graphics conversion [39][40][41], sketch processing [42][43][44], data registration [9,[45][46][47], noise removal [48,49], data reduction [50,51], curve-based surface reconstruction [42,[52][53][54][55][56][57][58], polygon-based surface reconstruction [59][60][61][62][63], and direct slicing [64][65][66][67][68].…”