Filling holes with shape preserving conditions

Fortes, M. A.; González, Pedro; Palomares, Antonio; Pasadas, M.

doi:10.1016/j.matcom.2014.12.008

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…Brunton et al [ 19 ] first flattened the hole boundaries without self-intersection onto the reference plane for filling and then used the minimum energy method to embed the patched mesh back into the spatial mesh. Fortes et al [ 20 ] proposed a shape feature determination method on top of Brunton's. Based on the minimization of an energy function, the holes were filled by inheriting the local information of the holes in the original model.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Identification and Repair Method for Annular Holes in 3D Printing

Zhang

Wu²,

Wei³

2022

Computational Intelligence and Neuroscience

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With the popularization of 3D printing in the consumer goods field, there is a specific type of hole named annular hole in the narrow features, surface bumps, or folded parts of products. The traditional triangular mesh repair method is not effective for such holes. The structural characteristics of the annular hole are analyzed in this research, and the definition and identification method for annular holes is presented through the shape and position relationship of two closed hole lines. To improve the repair efficiency and the applicability of the algorithm, the traditional hole repair method and process are ameliorated. A repair strategy of hole boundary stitching and filling, triangulation optimization, implicit surface construction based on Radial Basis Function, and surface integral deformation is adopted to achieve a smooth joint of the repaired hole surface with the original triangular mesh surface. The method can ensure surface smoothness and accuracy. Finally, two experiments are carried out to verify the repair quality and efficiency of our method. Compared with Geomagic software, the proposed method can automatically identify and repair annular holes with fewer defects and similar efficiency. Compared with a traditional hole repair method, the evaluation results demonstrate that the proposed method is much faster, and the repair quality is higher without the influences of human operations. It is shown that our method can be applied to annular hole repair of 3D printing models without the participation of technicians.

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Section: Related Workmentioning

confidence: 99%

An Intelligent Identification and Repair Method for Annular Holes in 3D Printing

Zhang

Wu²,

Wei³

2022

Computational Intelligence and Neuroscience

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show abstract

“…With the commonly used hole-filling methods, data fitting and interpolation are performed on the hole areas to complete the hole filling according to the similarity between each building hole and its neighborhood data. Such methods mainly include implicit surface fitting [4,5] and mesh model repairing [6], which can process holes of various shapes and sizes. However, they ignore the original data features of the building, and the repaired data are relatively smooth and do not retain the sharp features of the building completely.…”

Section: Related Workmentioning

confidence: 99%

“…Unfortunately, this method was limited by the size of the hole boundary and caused some damage to the original model to a certain extent. Based on Brunton's method, Fortes proposed a shape feature determination method [4]. Based on the minimum energy function, it generated hole patches for the original holes.…”

Section: Related Workmentioning

confidence: 99%

Hole Filling of Single Building Point Cloud Considering Local Similarity among Floors

Min

Wang

et al. 2022

Remote Sensing

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In the process of acquiring a point cloud, due to the shielding of the building itself and other ground objects (such as vegetation), the collected point cloud cannot cover the building facades surface uniformly and completely, and can produce several holes of different sizes. The existing hole-filling methods cannot obtain satisfying repaired results. To solve this problem, this paper proposes a new hole-filling approach considering the local similarity among floors. The proposed approach first detects holes in the building facade surface and then identifies the building floors; next, according to the fact that building data are similar in the same position on different floors, the holes of the building facade point cloud can be filled using the data of different floors. The study examines three large buildings to verify the proposed method. The experimental results show that the proposed method outperforms the state-of-the-art filling methods; the filling results of the proposed method are closer to the real shape and can be smoothly connected with the original building point cloud. Moreover, the proposed method has greater accuracy when comparing the root mean square error (RMSE).

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“…With the aim of obtaining fitting patches somehow inheriting the shape of the known information, several approaches have been considered: e.g., in [3] the authors propose a method consisting of minimizing energy functionals to extend the shape of the dataset towards the interior of the hole by means of a patch fitting not only the data, but also some of its 'estimated' partial derivatives. Nevertheless, most approaches do not specifically adapt to the particular shape of the data to be fitted.…”

Section: Introductionmentioning

confidence: 99%