Results 11 to 20 of about 694,034 (385)
Deep Neural Network for 3D Shape Classification Based on Mesh Feature
Sensors, 2022 Virtual reality, driverless cars, and robotics all make extensive use of 3D shape classification. One of the most popular ways to represent 3D data is with polygonal meshes. In particular, triangular mesh is frequently employed.
Mengran Gao +3 more
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CES Transactions on Electrical Machines and Systems, 2023 This paper is an introduction to mesh based generated reluctance network modeling using triangular elements. Many contributions on mesh based generated reluctance networks using rectangular shaped elements have been published, but very few on those ...
Haidar Diab +4 more
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Applied Sciences, 2022 Triangular meshes play critical roles in many applications, such as numerical simulation and additive manufacturing. However, the triangular meshes transformed from computer-aided design models using common algorithms may have many undesirable narrow ...
Yu Huo +6 more
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A Surface Division Method of Parts Mesh Model for On-Machine Inspection
IEEE Access, 2020 As a general 3D model data format, triangular mesh model has been widely used in mechanical engineering to realize the function of transmitting data between different CAD software, but during the transmission, a large amount of geometric and topological ...
Xincheng Lu +5 more
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Unsupervised Machine Learning for Improved Delaunay Triangulation
Journal of Marine Science and Engineering, 2021 Physical oceanography models rely heavily on grid discretization. It is known that unstructured grids perform well in dealing with boundary fitting problems in complex nearshore regions.
Tao Song +7 more
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A Fast Hole-Filling Method for Triangular Mesh in Additive Repair
Applied Sciences, 2020 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 ...
Chao Feng +5 more
semanticscholar +1 more source
Hessian Eigenfunctions for Triangular Mesh Parameterization [PDF]
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016 Hessian Locally Linear Embedding (HLLE) is an algorithm that computes the nullspace of a Hessian functional H for Dimensionality Reduction (DR) of a sampled manifold M. This article presents a variation of classic HLLE for parameterization of 3D triangular meshes.
Mejía, Daniel +2 more
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Extracting Triangular 3D Models, Materials, and Lighting From Images [PDF]
Computer Vision and Pattern Recognition, 2021 We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations. Unlike recent multi-view reconstruction approaches, which typically produce entangled 3D representations encoded in neural ...
Jacob Munkberg +7 more
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Robust Spherical Parameterization of Triangular Meshes [PDF]
Computing, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sheffer, A., Gotsman, C., Dyn, N.
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Journal of Marine Science and Engineering, 2020 One of the most widely used methods for representing the shapes of ships and offshore plants is triangular mesh, which has a simple structure and is easy to visualize.
Kiyoun Kwon, Duhwan Mun
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