Automatic construction of watertight manifold triangle meshes from scanned point clouds using matched umbrella facets

Ma, Ji; Chen, Jack Szu-Shen; Feng, Hsi-Yung; Wang, Lihui

doi:10.1080/16864360.2017.1287676

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…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. Zhong et al [52] have developed an inverse distance square method for direct slicing of the spatial point-cloud data obtained from the RE for rapid prototyping [26] applications.…”

Section: Surface Model Creation Techniques For Pcammentioning

confidence: 99%

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

et al. 2018

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Point-cloud is a valuable piece of information for geometric modeling and additive manufacturing of different types of objects. In most cases, a point-cloud is obtained by using the 3D scanners or by using image processing. Alternatively, one can rely on an analytical approach for creating the required point-cloud. In this study, we develop an analytical method that uses both equation and algorithm-based approaches for creating a point-cloud for modeling a given object (or shape). The analytically created point-cloud can then be processed by using a commercially available CAD package to create a virtual model (or solid CAD model) of the object. Finally, the virtual model can be used to create a physical model (or replica) of the underlying object using a commercially available additive manufacturing device (e.g., a 3D printer). The abovementioned procedure of analytical point-cloud based geometric modeling for additive manufacturing can be applied to preserve artifacts having cultural significance. In particular, we consider the Ainu motifs that represent the cultural heritage of Ainus living in the northern part of Japan (Hokkaido). We first classify the motifs and then model them in the form of a point-clouds using both equations and a recursive process (algorithm) proposed in this study. Finally, we create the CAD model and physical models of the artifacts having Ainu motifs on them. This way, we show the effectiveness of the analytical point-cloud based geometric modeling for additive manufacturing.

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Section: Surface Model Creation Techniques For Pcammentioning

confidence: 99%

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

et al. 2018

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“…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].…”

Section: Introductionmentioning

confidence: 99%

Geometric Modeling and 3D Printing Using Recursively Generated Point Cloud

Tashi

Ullah

Kubo

2019

MCA

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Previous studies have reported that a recursive process called the point cloud creation algorithm (PCA) that generates a point cloud is useful for reverse engineering a planner shape. This study elucidates the characteristics of the parameters used in the recursive process as well as its ability in geometric modeling and 3D printing of 3D shapes. In the recursive process, three constants (center point, initial distance, and initial angle) and two variables (instantaneous distance and instantaneous rotational angle) are employed. The shape-modeling characteristics of the constants and variables are elucidated using some commonly used shapes (straight-line, circle, ellipses, spiral, astroid, S-shape, and leaf-shape). In addition, the shape-modeling capability of the recursive process as a whole is quantified using two parameters called the radius of curvature and aesthetic value. Moreover, an illustrative example that shows the efficacy of the recursive process in virtual and physical prototyping of a relatively complex 3D object is presented. The results show that reverse engineering performed by the recursive-process-created point cloud is free from computational complexity compared to reverse engineering performed by the 3D-scanner-created point cloud. As such, the outcomes of this study enrich the field of reverse engineering.

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Sphere sets from point clouds for efficient collision detection in robot motion planning

Visser

Pan

Duin

2021

2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)

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Automatic construction of watertight manifold triangle meshes from scanned point clouds using matched umbrella facets

Cited by 3 publications

References 25 publications

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

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

Geometric Modeling and 3D Printing Using Recursively Generated Point Cloud

Sphere sets from point clouds for efficient collision detection in robot motion planning

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