Relevant bibliographies by topics / Polygonal mesh segmentation

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Academic literature on the topic 'Polygonal mesh segmentation'

Author: Grafiati
Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Polygonal mesh segmentation"

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Chen, Hung-Kuang, and Mu-Wei Li. "A novel mesh saliency approximation for polygonal mesh segmentation." Multimedia Tools and Applications 77, no. 13 (October 13, 2017): 17223–46. http://dx.doi.org/10.1007/s11042-017-5287-4.

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Martins, Paula, Samuel Silva, Catarina Oliveira, Carlos Ferreira, Augusto Silva, and António Teixeira. "Polygonal Mesh Comparison Applied to the Study of European Portuguese Sounds." International Journal of Creative Interfaces and Computer Graphics 3, no. 1 (January 2012): 28–44. http://dx.doi.org/10.4018/jcicg.2012010103.

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The purpose of the authors’ study was to evaluate the feasibility of using a mesh comparison tool in the study of European Portuguese speech sounds. A large 3D MRI database from several speakers, including various sounds and contexts has been acquired. Segmentation, visualization, and analysis of such a large database are complex, time-consuming tasks, preventing the use of manual segmentation techniques. A more efficient semi-automatic method was devised to accomplish that task. After tongue segmentation, meshes were created from the segmented volumes and polygonal mesh comparison was used to assess differences between different sounds, vocalic contexts, syllabic positions and speakers. This is the first study using such an approach to analyze and compare tongue shape. This comparison method provides a qualitative measure enabling further insight into the main differences between speech sounds.
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Tong, Gang, Maria Savchenko, and Ichiro Hagiwara. "Polygonal Mesh Partitioning for NURBS Surface Generation." Advanced Materials Research 204-210 (February 2011): 1824–29. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1824.

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Surface reconstruction and NURBS surface generation based on 3D surface mesh partitioning are more essential today. In this paper, we present a new method of automatic partitioning complex surface meshes into the bounded regions with four corner points (quadrilateral regions) based on using control points (notches) for NURBS surface generation. The procedure of this method consists of 4 major steps: (1) the 3D polygons mapping into 2D polygons; (2) convex decomposition of the polygons in the 2D space; (3) subdivision of each polygons into quadrilateral regions; (4) mapping the received 2D regions onto the 3D original surface mesh. Main contribution in this paper is automatic partitioning of the 3D segmented parts of complex surfaces into quadrilateral regions based on combination of segmentation, mapping, and subdivision techniques. Automatic partitioning allows us to create not rectangular but quadrilateral regions without using any user-dependent parameters for further NURBS surface generation.
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Lv, Han Ming, Shu Dong Xiu, and Yang Wang. "Adaptive Quadrangular Segmentation of Triangle Meshes." Applied Mechanics and Materials 10-12 (December 2007): 833–37. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.833.

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A heuristic approach was presented to automatically partition a triangle meshes into a coarse quadrangular segmentation. The triangle mesh was firstly partitioned into a polygonal segmentation which will further be split into triangular and quadrangular patches. At last, the quadrangular segmentation was obtained by eliminating triangular patches according to their topological relations. The final segmentation consisted of pure-quadrangular patches with appropriate sizes according to the model’s geometric characteristics, and the features of input model were well captured. Experimental results showed that the algorithm was efficient and effective.
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Ha, Yujin, Jung-Ho Park, and Seung-Hyun Yoon. "Geodesic Hermite Spline Curve on Triangular Meshes." Symmetry 13, no. 10 (October 14, 2021): 1936. http://dx.doi.org/10.3390/sym13101936.

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Curves on a polygonal mesh are quite useful for geometric modeling and processing such as mesh-cutting and segmentation. In this paper, an effective method for constructing C1 piecewise cubic curves on a triangular mesh M while interpolating the given mesh points is presented. The conventional Hermite interpolation method is extended such that the generated curve lies on M. For this, a geodesic vector is defined as a straightest geodesic with symmetric property on edge intersections and mesh vertices, and the related geodesic operations between points and vectors on M are defined. By combining cubic Hermite interpolation and newly devised geodesic operations, a geodesic Hermite spline curve is constructed on a triangular mesh. The method follows the basic steps of the conventional Hermite interpolation process, except that the operations between the points and vectors are replaced with the geodesic. The effectiveness of the method is demonstrated by designing several sophisticated curves on triangular meshes and applying them to various applications, such as mesh-cutting, segmentation, and simulation.
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Sanzana, P., J. Gironás, I. Braud, N. Hitschfeld, F. Branger, F. Rodriguez, M. Fuamba, et al. "Decomposition of 2D polygons and its effect in hydrological models." Journal of Hydroinformatics 21, no. 1 (September 25, 2018): 104–22. http://dx.doi.org/10.2166/hydro.2018.031.

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Abstract 2D non-uniform polygonal meshes allow representation of the impact of landscape elements and small infrastructures on water flows. The initial vectorial mesh, derived from the intersection of several geographical information systems' layers, can have highly non-convex or sliver polygons. These bad-shaped elements compromise accurate numerical flow computation. We propose a flexible divide-and-conquer strategy to decompose polygons into physiographical meaningful parts using shape descriptors to better represent the surface terrain and hydrologic connectivity. We use the convexity index (CI) and the form factor (FF) to consider convex and square like optimum shapes. The strategy was applied to two peri-urban areas whose hydrologic response was simulated using distributed modeling. Good-quality meshes were generated with threshold values of CI≈0.8 and FF≈0.2, and CI≈0.95 and FF≈0.4 for undeveloped and highly urbanized zones, respectively. We concluded that the mesh segmentation facilitates the representation of the spatially distributed processes controlling not only the lumped response of the catchment, but also the spatial variability of water quantity and fluxes within it at medium and small scales.
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Liu, Yawen, Bingxuan Guo, Shuo Wang, Sikang Liu, Ziming Peng, and Demin Li. "Urban Building Mesh Polygonization Based on Plane-Guided Segmentation, Topology Correction and Corner Point Clump Optimization." Remote Sensing 14, no. 17 (September 1, 2022): 4300. http://dx.doi.org/10.3390/rs14174300.

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The lightweight representation of 3D building models has played an increasingly important role in the comprehensive application of urban 3D models. Polygonization is a compact and lightweight representation for which a fundamental challenge is the fidelity of building models. In this paper, we propose an improved polyhedralization method for 3D building models based on guided plane segmentation, topology correction, and corner point clump optimization. Improvements due to our method arise from three aspects: (1) A plane-guided segmentation method is used to improve the simplicity and reliability of planar extraction. (2) Based on the structural characteristics of a building, incorrect topological connections of thin-plate planes are corrected, and the lamellar structure is recovered. (3) Optimization based on corner point clumps reduces redundant corner points and improves the realism of a polyhedral building model. We conducted detailed qualitative and quantitative analyses of building mesh models from multiple datasets, and the results show that our method obtains concise and reliable segmented planes by segmentation, obtains high-fidelity building polygonal models, and improves the structural perception of building polygonization.
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Vasilev, Eugene, Dmitry Lachinov, Anton Grishin, and Vadim Turlapov. "Fast tetrahedral mesh generation and segmentation of an atlas-based heart model using a periodic uniform grid." Russian Journal of Numerical Analysis and Mathematical Modelling 33, no. 5 (November 27, 2018): 315–23. http://dx.doi.org/10.1515/rnam-2018-0026.

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Abstract A fast procedure for generation of regular tetrahedral finite element mesh for objects with complex shape cavities is proposed. The procedure like LBIE-Mesher can generate tetrahedral meshes for the volume interior to a polygonal surface, or for an interval volume between two surfaces having a complex shape and defined in STL-format. This procedure consists of several stages: generation of a regular tetrahedral mesh that fills the volume of the required object; generation of clipping for the uniform grid parts by a boundary surface; shifting vertices of the boundary layer to align onto the surface.We present a sequential and parallel implementation of the algorithm and compare their performance with existing generators of tetrahedral grids such as TetGen, NETGEN, and CGAL. The current version of the algorithm using the mobile GPU is about 5 times faster than NETGEN. The source code of the developed software is available on GitHub.
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Yang, Fan, You Li, Mingliang Che, Shihua Wang, Yingli Wang, Jiyi Zhang, Xinliang Cao, and Chi Zhang. "The Polygonal 3D Layout Reconstruction of an Indoor Environment via Voxel-Based Room Segmentation and Space Partition." ISPRS International Journal of Geo-Information 11, no. 10 (October 19, 2022): 530. http://dx.doi.org/10.3390/ijgi11100530.

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An increasing number of applications require the accurate 3D layout reconstruction of indoor environments. Various devices including laser scanners and color and depth (RGB-D) cameras can be used for this purpose and provide abundant and highly precise data sources. However, due to indoor environment complexity, existing noise and occlusions caused by clutter in acquired data, current studies often require the idealization of the architecture space or add an implication hypothesis to input data as priors, which limits the use of these methods for general purposes. In this study, we propose a general 3D layout reconstruction method for indoor environments. The method combines voxel-based room segmentation and space partition to build optimum polygonal models. It releases idealization of the architectural space into a non-Manhattan world and can accommodate various types of input data sources, including both point clouds and meshes. A total of four point cloud datasets, four mesh datasets and two cross-floor datasets were used in experiments. The results exhibit more than 80% completeness and correctness as well as high accuracy.
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Grilli, Eleonora, and Fabio Remondino. "Classification of 3D Digital Heritage." Remote Sensing 11, no. 7 (April 8, 2019): 847. http://dx.doi.org/10.3390/rs11070847.

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In recent years, the use of 3D models in cultural and archaeological heritage for documentation and dissemination purposes is increasing. The association of heterogeneous information to 3D data by means of automated segmentation and classification methods can help to characterize, describe and better interpret the object under study. Indeed, the high complexity of 3D data along with the large diversity of heritage assets themselves have constituted segmentation and classification methods as currently active research topics. Although machine learning methods brought great progress in this respect, few advances have been developed in relation to cultural heritage 3D data. Starting from the existing literature, this paper aims to develop, explore and validate reliable and efficient automated procedures for the classification of 3D data (point clouds or polygonal mesh models) of heritage scenarios. In more detail, the proposed solution works on 2D data (“texture-based” approach) or directly on the 3D data (“geometry-based approach) with supervised or unsupervised machine learning strategies. The method was applied and validated on four different archaeological/architectural scenarios. Experimental results demonstrate that the proposed approach is reliable and replicable and it is effective for restoration and documentation purposes, providing metric information e.g. of damaged areas to be restored.
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Dissertations / Theses on the topic "Polygonal mesh segmentation"

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Fang, Hao. "Modélisation géométrique à différent niveau de détails d'objets fabriqués par l'homme." Thesis, Université Côte d'Azur (ComUE), 2019. http://www.theses.fr/2019AZUR4002/document.

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La modélisation géométrique d'objets fabriqués par l'homme à partir de données 3D est l'un des plus grands défis de la vision par ordinateur et de l'infographie. L'objectif à long terme est de générer des modèles de type CAO de la manière la plus automatique possible. Pour atteindre cet objectif, des problèmes difficiles doivent être résolus, notamment (i) le passage à l'échelle du processus de modélisation sur des données d'entrée massives, (ii) la robustesse de la méthodologie contre des mesures d'entrées erronés, et (iii) la qualité géométrique des modèles de sortie. Les méthodes existantes fonctionnent efficacement pour reconstruire la surface des objets de forme libre. Cependant, dans le cas d'objets fabriqués par l'homme, il est difficile d'obtenir des résultats dont la qualité approche celle des représentations hautement structurées, comme les modèles CAO. Dans cette thèse, nous présentons une série de contributions dans ce domaine. Tout d'abord, nous proposons une méthode de classification basée sur l'apprentissage en profondeur pour distinguer des objets dans des environnements complexes à partir de nuages de points 3D. Deuxièmement, nous proposons un algorithme pour détecter des primitives planaires dans des données 3D à différents niveaux d'abstraction. Enfin, nous proposons un mécanisme pour assembler des primitives planaires en maillages polygonaux compacts. Ces contributions sont complémentaires et peuvent être utilisées de manière séquentielle pour reconstruire des modèles de ville à différents niveaux de détail à partir de données 3D aéroportées. Nous illustrons la robustesse, le passage à l'échelle et l'efficacité de nos méthodes sur des données laser et multi-vues stéréo sur des scènes composées d'objets fabriqués par l'homme
Geometric modeling of man-made objects from 3D data is one of the biggest challenges in Computer Vision and Computer Graphics. The long term goal is to generate a CAD-style model in an as-automatic-as-possible way. To achieve this goal, difficult issues have to be addressed including (i) the scalability of the modeling process with respect to massive input data, (ii) the robustness of the methodology to various defect-laden input measurements, and (iii) the geometric quality of output models. Existing methods work well to recover the surface of free-form objects. However, in case of manmade objects, it is difficult to produce results that approach the quality of high-structured representations as CAD models.In this thesis, we present a series of contributions to the field. First, we propose a classification method based on deep learning to distinguish objects from raw 3D point cloud. Second, we propose an algorithm to detect planar primitives in 3D data at different level of abstraction. Finally, we propose a mechanism to assemble planar primitives into compact polygonal meshes. These contributions are complementary and can be used sequentially to reconstruct city models at various level-of-details from airborne 3D data. We illustrate the robustness, scalability and efficiency of our methods on both laser and multi-view stereo data composed of man-made objects
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Šmirg, Ondřej. "Tvorba 3D modelu čelistního kloubu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-233691.

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The dissertation thesis deals with 3D reconstruction of the temporomandibular joint from 2D slices of tissue obtained by magnetic resonance. The current practice uses 2D MRI slices in diagnosing. 3D models have many advantages for the diagnosis, which are based on the knowledge of spatial information. Contemporary medicine uses 3D models of tissues, but with the temporomandibular joint tissues there is a problem with segmenting the articular disc. This small tissue, which has a low contrast and very similar statistical characteristics to its neighborhood, is very complicated to segment. For the segmentation of the articular disk new methods were developed based on the knowledge of the anatomy of the joint area of the disk and on the genetic-algorithm-based statistics. A set of 2D slices has different resolutions in the x-, y- and z-axes. An up-sampling algorithm, which seeks to preserve the shape properties of the tissue was developed to unify the resolutions in the axes. In the last phase of creating 3D models standard methods were used, but these methods for smoothing and decimating have different settings (number of polygons in the model, the number of iterations of the algorithm). As the aim of this thesis is to obtain the most precise model possible of the real tissue, it was necessary to establish an objective method by which it would be possible to set the algorithms so as to achieve the best compromise between the distortion and the model credibility achieve.
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CIPOLLA, Marco. "Polygonal mesh segmentation by surface curvature diffusion." Doctoral thesis, 2011. http://hdl.handle.net/10447/102437.

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Li, Mu-Wei, and 李牧維. "Approximation of Part Salience for Polygonal Mesh Segmentation." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8pjtu9.

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碩士
國立勤益科技大學
電子工程系
105
Mesh segmentation is an essential geometric processing tool for a variety of applications such as motion capture, shape recognition, gesture recognition, 3D model retrieval, and product reverse design or manufacturing, etc. To assist automatic segmentation, the theory of part salience and minimal rule introduced by Hoffman et al.[1][2] has been applied extensively to the field of machine vision and mesh segmentation. In this paper, we proposed an approach to part salience approximation and its application to mesh segmentation. Unlike previous attempts, we assume that the part salience to be a linear combination of the degree of protrusion, the boundary strength, and the relative size. To verify our approach, a part salience-based iterative polygonal mesh segmentation is devised on the basis of such assumption and the segmentation results are scored according to a recent benchmark. According to the test scores, the segmentation algorithm based on our approach obviously out performs a number of concurrent well-know approaches.
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Conference papers on the topic "Polygonal mesh segmentation"

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"REGION-BASED OBJECTIVE EVALUATION OF POLYGONAL MESH SEGMENTATION METHODS." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003327702050209.

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Rafibakhsh, Nima, and Matthew I. Campbell. "Hierarchical Primitive Surface Classification From Triangulated Solids for Defining Part-to-Part Degrees of Freedom." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46069.

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Mesh segmentation is the process of organizing a set of data points into connected areas defined by known surface primitives or surface equations. Our approach is a hierarchical method based on clustering and Mamdani’s fuzzification system. First, a clustering algorithm is used to isolate regions of small and irregular oriented triangles, which make up a large portion of the total polygonal faces. Then, using fuzzification rule sets, the remaining triangles are made into meaningful primitives: cylinder, cone, sphere and flat. The end goal of this work is to use the primitives to define the degrees of freedom between mating parts in an assembly when such information is unknown or lost. The result of this process has proven to be accurate with well-defined borders with no need of additional post-processing steps.
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Alciatore, David G. "Computer Graphics Modeling of Anatomy: From 2D Data Acquisition to 3D Sculpting." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/cie1995-0778.

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Abstract This paper describes a process which is used to generate three-dimensional computer graphics surface models of gross anatomical structures. Key steps in the generation of these models include acquiring 2D cross-sectional data from macrocryotome slicing, generating 2D cross section contours from edge detection and region segmentation, generating a polygonal mesh surface model by triangulating between the 2D contours, and interactive sculpting of the 3D surface for editing and changing the appearance of the model. The algorithms and development involved with these steps are briefly described here and several images resulting from the process are presented. The main purpose of the paper is not to present the details of implementation of the various algorithms, but rather to present the overall methodology and illustrate the results. Implementation details can be found in other papers referenced here. The most recent results of our efforts, which are presented here, are 3D surface models of the complete human thorax. These models have numerous applications in anatomy and biomechanics visualization and teaching.
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