Poisson-driven seamless completion of triangular meshes

Centin, Marco; Pezzotti, Nicola; Signoroni, Alberto

doi:10.1016/j.cagd.2015.03.006

Cited by 22 publications

(11 citation statements)

References 28 publications

(45 reference statements)

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“…Guo et al [34] introduced an oriented voxel global diffusion method to fill holes in complex surfaces. Centin et al [35] employed a Poisson reconstruction step to generate an implicit function for completing the missing parts. Argudo et al [36] presented an adaptive, multigrid algorithm for mesh completion in general and complex cases by using the Bi-Harmonic fields.…”

Section: Hole-fillingmentioning

confidence: 99%

A Fast Hole-Filling Method for Triangular Mesh in Additive Repair

et al. 2020

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In the triangular meshes obtained in additive repair, it is a challenge to find one single hole-filling method to close all holes and make the filling patches assort with surrounding meshes well with low time complexity, which is mainly caused by the shape complexity and size difference of the various holes, especially in the fields of intelligent manufacturing, 3D measurement, and reverse engineering. Therefore, it is reasonable to adopt different algorithms to fill different types of holes. In this research, a fast hole-filling method for triangular mesh is proposed based on the hole size. First, a group of basic concepts is defined to make them uniform throughout the whole text, followed by the descriptions of hole detection and boundary cleaning. Second, three different algorithms are developed to fill the small-sized, middle-sized, and large-sized holes classified by hole size respectively, which can fill all the detected holes in a fast and proper manner. Finally, two experiments are carried out to verify the efficiency, robustness, and ability to recover the shape of our method. Compared to two state-of-the-art hole-filling methods in the first experiment, the quantitative evaluation results demonstrate that our proposed method is much faster than them with the ability to guarantee the regularity of most filling triangles. The second experiment proves that our method can produce satisfactory filling results by making the filling patches be compatible with surrounding meshes well.

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Section: Hole-fillingmentioning

confidence: 99%

A Fast Hole-Filling Method for Triangular Mesh in Additive Repair

et al. 2020

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“…The computation of areas, which are defined in the image as 2D non-convex polygons, is based on a local meshing of the terrain inside the polygon [31,32]. b) Overlay of scientific data information Physicochemical measurements collected during the dive using the scientific payload can be geo-referenced and displayed in real time, allowing a deeper understanding of the underlying phenomena that characterise the ecosystem's dynamics.…”

Section: A) Topological Functionalitiesmentioning

confidence: 99%

3D Perception and Augmented Reality Developments in Underwater Robotics for Ocean Sciences

et al. 2020

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Purpose of Review This paper addresses the benefits and challenges of mixed reality (MR) for the exploration of deep-sea environments with remotely operated vehicles. The approach is twofold: virtual reality (VR) let the scientist explore the environment via a visual 3D model, overcoming limitations of local perception. Augmented reality (AR) concepts are designed in order to improve environment perception and interaction. Recent FindingsThe key to such concepts is the implementation of 3D visual geo-referenced terrain models from the imaging feedback gathered by the vehicle exploring its unknown surroundings. Image processing, underwater vehicle navigation, and user-friendly displays for robotic intervention are addressed in an integrated concept. A broad development programme carried out at the French Institute for Ocean Science, IFREMER, is described and illustrates technical topics and use cases. Summary 3D perception derived from camera vision is shown to enable AR concepts that will significantly improve remote exploration and intervention in unknown natural environments. Cumulative geo-referenced 3D model building is in the process of being taken to reliable functioning in real-world underwater applications, accomplishing a milestone change in the capacity to view and understand the obscure and inaccessible deep-sea world.

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“…Finally, a marching cubes algorithm was used to reconstruct the face model used for display, which effectively improved the face model accuracy. Centin et al [12] proposed a new Poisson reconstruction algorithm based on an interpolation method and exploited it to efficiently guide a restricted Delaunay framework protecting the input mesh and the boundary curves. The boundary of a repaired hole can be seamlessly integrated with the patch boundary.…”

Section: Surface Reconstructionmentioning

confidence: 99%

“…Although any of the current surface reconstruction algorithms [11][12][13][14] can reconstruct accurate meshes, the data volume of 3D meshes is larger; thus, the resulting average reconstruction time is also longer. As an example of this increased data volume, for Stanford Bunny point cloud data (1.89 MB), the reconstruction mesh was at least 20 MB and the average reconstruction time was at least 15 s. Although the quality of the point cloud and mesh improved while the reconstruction time decreased due to denoising and registration pretreatments, the surface reconstruction algorithms [10,16] were not optimized, resulting in a insufficiently lightweight mesh.…”

Section: Existing Problems In Current Researchmentioning

confidence: 99%

A Lightweight Surface Reconstruction Method for Online 3D Scanning Point Cloud Data Oriented toward 3D Printing

Sheng

Zhao

Yin

et al. 2018

Mathematical Problems in Engineering

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The existing surface reconstruction algorithms currently reconstruct large amounts of mesh data. Consequently, many of these algorithms cannot meet the efficiency requirements of real-time data transmission in a web environment. This paper proposes a lightweight surface reconstruction method for online 3D scanned point cloud data oriented toward 3D printing. The proposed online lightweight surface reconstruction algorithm is composed of a point cloud update algorithm (PCU), a rapid iterative closest point algorithm (RICP), and an improved Poisson surface reconstruction algorithm (IPSR). The generated lightweight point cloud data are pretreated using an updating and rapid registration method. The Poisson surface reconstruction is also accomplished by a pretreatment to recompute the point cloud normal vectors; this approach is based on a least squares method, and the postprocessing of the PDE patch generation was based on biharmonic-like fourth-order PDEs, which effectively reduces the amount of reconstructed mesh data and improves the efficiency of the algorithm. This method was verified using an online personalized customization system that was developed with WebGL and oriented toward 3D printing. The experimental results indicate that this method can generate a lightweight 3D scanning mesh rapidly and efficiently in a web environment.

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Poisson-driven seamless completion of triangular meshes

Cited by 22 publications

References 28 publications

A Fast Hole-Filling Method for Triangular Mesh in Additive Repair

A Fast Hole-Filling Method for Triangular Mesh in Additive Repair

3D Perception and Augmented Reality Developments in Underwater Robotics for Ocean Sciences

A Lightweight Surface Reconstruction Method for Online 3D Scanning Point Cloud Data Oriented toward 3D Printing

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