Relevant bibliographies by topics / Computational geometry 3D mesh segmentation

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Computational geometry 3D mesh segmentation'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Computational geometry 3D mesh segmentation"

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Stella, Orozco, Formella Arno, A. Cadavid Carlos, Ruiz Salguero Oscar, and Osorno Maria. "Geometry and Topology-based Segmentation of 2-Manifold Triangular Meshes in R3." British Journal of Applied Science & Technology 21, no. 1 (2017): 1–14. https://doi.org/10.9734/BJAST/2017/32827.

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This manuscript reports a geometrical and a topological methods to segment a closed triangular 2-manifold mesh M R3. The mesh M does not self-intersect) and has no border (i.e. watertight. Geometrical and topological segmentation methods require a Boundary Representation (BRep) fromM. Building the BRep forM uniforms the triangle orientations, and makes explicit triangle and edge - counter edge adjacency. In the context of Reverse Engineering, the sub-meshes produced by the segmentation are subsequently used to fit parametric surfaces, which are in turn trimmed by the sub-mesh boundaries (formi
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Sainz-DeMena, Diego, José Manuel García-Aznar, María Ángeles Pérez, and Carlos Borau. "Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations. Application to Patient-Specific Neuroblastoma Tumour Image Sequences." Applied Sciences 12, no. 22 (2022): 11557. http://dx.doi.org/10.3390/app122211557.

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The future of personalised medicine lies in the development of increasingly sophisticated digital twins, where the patient-specific data is fed into predictive computational models that support the decisions of clinicians on the best therapies or course actions to treat the patient’s afflictions. The development of these personalised models from image data requires a segmentation of the geometry of interest, an estimation of intermediate or missing slices, a reconstruction of the surface and generation of a volumetric mesh and the mapping of the relevant data into the reconstructed three-dimen
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Guha, Sumanta. "3D Mesh Segmentation using Local Geometry." International Journal of Computer Graphics & Animation 5, no. 2 (2015): 37–45. http://dx.doi.org/10.5121/ijcga.2015.5204.

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Xu, Wenqiang, Yongnian Zeng, and Changlin Yin. "3D City Reconstruction: A Novel Method for Semantic Segmentation and Building Monomer Construction Using Oblique Photography." Applied Sciences 13, no. 15 (2023): 8795. http://dx.doi.org/10.3390/app13158795.

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Existing 3D city reconstruction via oblique photography can only produce surface models, lacking semantic information about the urban environment and the ability to incorporate all individual buildings. Here, we propose a method for the semantic segmentation of 3D model data from oblique photography and for building monomer construction and implementation. Mesh data were converted into and mapped as point sets clustered to form superpoint sets via rough geometric segmentation, facilitating subsequent feature extractions. In the local neighborhood computation of semantic segmentation, a neighbo
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Zhang, C., and B. Mao. "3D BUILDING MODELS SEGMENTATION BASED ON K-MEANS++ CLUSTER ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W2 (October 5, 2016): 57–61. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w2-57-2016.

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3D mesh model segmentation is drawing increasing attentions from digital geometry processing field in recent years. The original 3D mesh model need to be divided into separate meaningful parts or surface patches based on certain standards to support reconstruction, compressing, texture mapping, model retrieval and etc. Therefore, segmentation is a key problem for 3D mesh model segmentation. In this paper, we propose a method to segment Collada (a type of mesh model) 3D building models into meaningful parts using cluster analysis. Common clustering methods segment 3D mesh models by K-means, who
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Sun, Xiaopeng, J. Pan, and Xiaopeng Wei. "3D mesh skeleton extraction using prominent segmentation." Computer Science and Information Systems 7, no. 1 (2010): 63–74. http://dx.doi.org/10.2298/csis1001063s.

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Skeleton of 3D mesh is a fundamental shape feature, and is useful for shape description and other many applications in 3D Digital Geometry Processing. This paper presents a novel skeleton extraction algorithm based on feature point and core extraction by the Multidimensional scaling (MDS) transformation. The algorithm first straights the folded prominent branch up, as well as the prominent shape feature points of mesh are computed, a meaningful segmentation is applied under the direction of feature points. The Node-ring of all segmented components is defined by discrete geodesic path on mesh s
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Grzeczkowicz, Grégoire, and Bruno Vallet. "Semantic Edge Collapse: A Mesh Edge Collapse Algorithm preserving per Face Semantic Information." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W8-2024 (December 14, 2024): 185–92. https://doi.org/10.5194/isprs-archives-xlviii-2-w8-2024-185-2024.

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Abstract. Recent advancements in 3D data acquisition and processing have enabled high-fidelity urban modeling. Yet, production of structured 3D models in standards like CityGML remain complex, resource-intensive, and difficult to automate. This paper introduces a low-cost alternative that we call “structured mesh model” designed to cover many applications of structured 3D models at a lower cost. It relies on integrating geometric simplification with segmentation alignment to produce a lightweight, unified mesh representation. Using an edge-collapse algorithm, our method combines geometry from
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Abderrahim, Zeineb, and Mohamed Salim Bouhlel. "Compression and Visualization Interactive of 3D Mesh." International Journal of Applied Mathematics and Informatics 15 (November 16, 2021): 85–92. http://dx.doi.org/10.46300/91014.2021.15.14.

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The combination of compression and visualization is mentioned as perspective, very few articles treat with this problem. Indeed, in this paper, we proposed a new approach to multiresolution visualization based on a combination of segmentation and multiresolution mesh compression. For this, we proposed a new segmentation method that benefits the organization of faces of the mesh followed by a progressive local compression of regions of mesh to ensure the refinement local of the three-dimensional object. Thus, the quantization precision is adapted to each vertex during the encoding /decoding pro
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Agathos, Alexander, Ioannis Pratikakis, Stavros Perantonis, Nikolaos Sapidis, and Philip Azariadis. "3D Mesh Segmentation Methodologies for CAD applications." Computer-Aided Design and Applications 4, no. 6 (2007): 827–41. http://dx.doi.org/10.1080/16864360.2007.10738515.

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Prakash, Sujata, and C. Ross Ethier. "Requirements for Mesh Resolution in 3D Computational Hemodynamics." Journal of Biomechanical Engineering 123, no. 2 (2000): 134–44. http://dx.doi.org/10.1115/1.1351807.

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Computational techniques are widely used for studying large artery hemodynamics. Current trends favor analyzing flow in more anatomically realistic arteries. A significant obstacle to such analyses is generation of computational meshes that accurately resolve both the complex geometry and the physiologically relevant flow features. Here we examine, for a single arterial geometry, how velocity and wall shear stress patterns depend on mesh characteristics. A well-validated Navier-Stokes solver was used to simulate flow in an anatomically realistic human right coronary artery (RCA) using unstruct
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Dissertations / Theses on the topic "Computational geometry 3D mesh segmentation"

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Lanterne, Célestin. "Réparation et optimisation de maillages 3D pour l'impression 3D." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0454.

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Les imprimantes 3D utilisent des modèles 3D sous la forme de maillages pour définir la géométrie et l'apparence des objets à imprimer. Un maillage 3D doit posséder certaines propriétés topologiques pour que la géométrie qu'il représente soit imprimable, et la géométrie elle même doit respecter certaines conditions pour être imprimable. Ces propriétés et conditions peuvent varier selon la technologie d'impression 3D utilisée.De nombreux maillages 3D utilisés pour l'impression n'ont dans un premier temps pas été conçus pour cette application. La principale utilisation première de ces maillages e
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Bertin, Etienne. "Diagrammes de Voronoï 2D et 3D : applications en analyse d'images." Grenoble 1, 1994. http://tel.archives-ouvertes.fr/tel-00005078.

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Cette thèse est axée sur la coopération entre l'analyse d'images et la géométrie algorithmique sur la base des diagrammes de Voronoi et de Delaunay. Le propos de l'analyse d'images est la description du contenu d'une image, en vue de son interprétation et d'une prise de décision. La géométrie algorithmique quant à elle consiste à trouver des algorithmes efficaces en vue de résoudre des problèmes a caractère géométrique. Nous nous intéresserons ici au problème de représentation des images par des partitionnements plus ou moins complexes, adaptes ou non au contenu informatif des images. Parmi ce
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Bouhnaida, Zaïnaba. "Étude comparative de trois systèmes de préparation canalaire en endodontie : Étude in vitro en micro-CT." Thesis, Reims, 2018. http://www.theses.fr/2018REIMO201/document.

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Le but de cette étude est de comparer le respect de la morphologie canalaire après instrumentation à l’aide de trois systèmes de mise en forme canalaire différents : le One Shape NEW Generation®, le Wave One® et le Revo-S® grâce à une étude en Micro-tomographie assistée par ordinateur ou micro-CT (Computed Tomography). La mise en place d’une chaîne méthodologique totalement tridimensionnelle (3D) comprenant la reconstruction, le recalage et la segmentation a permis de traiter les images acquises et d’extraire les images recalées des canaux dentaires avant et après instrumentation. Les artéfact
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Deo, Dhanannjay. "Computerized Landmarking And Anthropometry Over Laser Scanned 3D Head And Face Surface Meshes." Thesis, 2006. https://etd.iisc.ac.in/handle/2005/341.

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Understanding of the shape and size of different features of human body from the scanned data is necessary for automated design and evaluation of product ergonomics. The traditional method of finding required body dimensions by manual measurements (Anthropometry) has many sociological, logistical and technical drawbacks such as prolonged time, skilled researcher for consistency and accuracy of measurements, undesirable physical contact between the subject and the researcher, required presence of people from different demographic categories or travel of researcher with equipments. If these di-
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Deo, Dhanannjay. "Computerized Landmarking And Anthropometry Over Laser Scanned 3D Head And Face Surface Meshes." Thesis, 2006. http://hdl.handle.net/2005/341.

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Understanding of the shape and size of different features of human body from the scanned data is necessary for automated design and evaluation of product ergonomics. The traditional method of finding required body dimensions by manual measurements (Anthropometry) has many sociological, logistical and technical drawbacks such as prolonged time, skilled researcher for consistency and accuracy of measurements, undesirable physical contact between the subject and the researcher, required presence of people from different demographic categories or travel of researcher with equipments. If these di- m
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Book chapters on the topic "Computational geometry 3D mesh segmentation"

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Krüger, Nina, Jan Brüning, Leonid Goubergrits, et al. "Deep Learning-Based Pulmonary Artery Surface Mesh Generation." In Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52448-6_14.

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AbstractProperties of the pulmonary artery play an essential role in the diagnosis and treatment planning of diseases such as pulmonary hypertension. Patient-specific simulation of hemodynamics can support the planning of interventions. However, the variable complex branching structure of the pulmonary artery poses a challenge for image-based generation of suitable geometries. State-of-the-art segmentation-based approaches require an interactive 3D surface reconstruction to prepare the simulation geometry. We propose a deep learning approach to generate a 3D surface mesh of the pulmonary arter
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Li, Wei, Leilei Ji, Ramesh Agarwal, Weidong Shi, and Ling Zhou. "Brief Review of Computational Fluid Dynamics." In Mixed-flow Pumps: Modeling, Simulation, and Measurements. ASME-Wiley, 2024. http://dx.doi.org/10.1115/1.862mfp_ch3.

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Theoretical hydrodynamics, experimental hydrodynamics, and computational fluid dynamics (CFD) are the three approaches for the study of problems in hydrodynamics. CFD as a flow simulation tool requires physical models described by the governing partial differential equations (PDEs) of fluid dynamics, appropriate, accurate, and stable numerical algorithms for discretization of the governing equations on a mesh generated inside a chosen computational domain, and computer hardware for the solution of the discretized algebraic equations in the computational domain with appropriate boundary conditi
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Conference papers on the topic "Computational geometry 3D mesh segmentation"

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Raut, S. S., S. Chandra, J. Shum, et al. "A Comprehensive Tool for Patient-Specific AAA Geometry and Biomechanics Assessment." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80397.

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Annual mortality from ruptured abdominal aortic aneurysm (AAA) in the United States alone is approximately 150,000, which is currently ranked as the 13th leading cause of death and the 10th leading cause of death in men over 55 years of age [1]. The vascular surgeon needs to weigh the risk of AAA rupture against the risk of surgical intervention to decide the best course of treatment. Several steps are involved when using computational techniques to evaluate risk of rupture [2], namely medical image segmentation, 3D reconstruction, finite element mesh generation, derivation of boundary conditi
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Safarov, A., Y. Zhang, J. Cortez, et al. "Enabling Rapid Bit Design Improvements Through Automatic Extraction of Geometric Information of Used Drill Bit from Videos Captured on a Mobile Device." In SPE Annual Technical Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/220828-ms.

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Abstract Detailed drill bit geometry information allows for the development of 3D bit rock interaction (BRI) models to study its dynamic drilling performance. Measurement devices that were built to extract such information from drilled bits are large and not easily deployable at scale at a rig site. The goal of this work is to demonstrate the ability to extract such information from unstructured videos captured on mobile devices. Multiple steps exist to obtain the 3D geometrical information of a drill bit from the captured videos. First, the open-source package PYCOLMAP constructs a 3D point c
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Mehrishal, S., J. Kim, and J. J. Song. "AI-Powered Semi-Automated Trace Detection Techniques on 3D Digital Rock Mass Models." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0911.

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ABSTRACT: Estimating rock mass structure relies heavily on deciphering trace lines on exposed rock surfaces. Manual detection of traces on 3D digital models can be tedious and time-consuming. This study proposes a novel AI-driven approach to enhance 3D trace surveying, overcoming potential limitations. A custom pixel-wise texture mapper algorithm transforms 3D rock models into virtual 2D images, eliminating access restrictions. DeepLabV3+, a deep-learning network, efficiently detects trace lines within these virtual images. The detected traces are transformed into 3D data through a multi-step
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Bamba, Keisuke, and Ryutarou Ohbuchi. "Supervised, Geometry-Aware Segmentation of 3D Mesh Models." In 2012 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2012. http://dx.doi.org/10.1109/icmew.2012.16.

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Dordiuk, Vladislav, Maksim Dzhigil, and Konstantin Ushenin. "Benefits of Mirror Weight Symmetry for 3D Mesh Segmentation in Biomedical Applications." In 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB). IEEE, 2023. http://dx.doi.org/10.1109/csgb60362.2023.10329838.

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Gori, F., and A. Boghi. "Image-Based Computational Fluid Dynamics in a Carotid Artery." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10302.

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Literature presents numerical simulations on image-based geometry where blood is treated as a Newtonian fluid, while others simulations assumed a non-Newtonian blood with two or three-dimensional axisymmetric geometry. The present work investigates the non-Newtonian behavior of a pulsating blood flow through a stenosed carotid artery, realistically reconstructed with the patient-specific geometry of a 60 years old man with an intimal thickening of 90% degree of stenosis. Lumen boundary contours are segmented using commercial image-processing software AMIRA for a 3D geometry reconstruction. Hig
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Ge, Yuntian, Rui Zhang, and Xiuling Wang. "3D Wind Field Construction for Suburban Environment by Parallel Computational Fluid Dynamics Techniques." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-66637.

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The objective of this paper is to analysis the wind farm properties in suburban environment by Computational Fluid Dynamics (CFD) simulations. In order to do the simulation of a suburban environment, geometry model was built and mesh was generated by commercial software GAMBIT®. Simulation was conducted by FLUENT®. Parallel computing technique was applied in simulation. Simulation results showed different kinds of wind properties such as path lines, velocity distributions, turbulence intensity, etc., and it is also indicated that parallel computing is an appropriate way to conduct wind farm si
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Mrinal, K. R., Md Hamid Siddique, and Abdus Samad. "A Transient 3D CFD Model of a Progressive Cavity Pump." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56599.

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A progressive cavity pump (PCP) is a positive displacement pump and has been used as an artificial lift method in the oil and gas industry for pumping fluid with solid content and high viscosity. In a PCP, a single-lobe rotor rotates inside a double-lobe stator. Articles on computational works for flows through a PCP are limited because of transient behavior of flow, complex geometry and moving boundaries. In this paper, a 3D CFD model has been developed to predict the flow variables at different operating conditions. The flow is considered as incompressible, single phase, transient, and turbu
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Rueda, C. J., C. Mejía, L. F. Paullo, D. Roehl, D. Rossi, and F. Henriques. "3D Hydraulic Fracture Propagation in a Heterogeneous Rock Formation Using a Mesh Transition Technique." In 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0516.

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ABSTRACT Hydraulic fracturing is a stimulation technique widely used in oil and gas production. Forecasting the induced fracture geometry can improve the efficiency of the stimulation process. Traditional numerical models consider fracture propagation in homogeneous formations. However, in carbonate reservoirs, the high variation of the rock formation properties due to anisotropy and heterogeneity can affect hydraulic fracture propagation. This work presents a numerical methodology to simulate 3D fluid-driven fracture propagation in a carbonate reservoir. The heterogeneity is introduced as a m
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Dawes, William N. "Twenty Five Years of Mesh Generation: A Personal Perspective." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-05016.

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Since starting research in CFD the early 1980’s as a PhD Student I have worked with a variety of mesh types and topologies. The main application areas have been in aerospace, mostly in turbomachinery, but also in racing car aerodynamics and in the oil & gas process industries. The first meshes I used were simple, sheared H meshes for blade-to-blade flows; these were — and still are — perfectly adequate for this class of simulation and are in use to this day in routine design all around the world. However, most application areas are fundamentally more complex, both in terms of geometry and
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