Results 11 to 20 of about 661,831 (374)
Effects of cropping, smoothing, triangle count, and mesh resolution on 6 dental topographic metrics.
PLoS ONE, 2019 Dental topography is a widely used method for quantifying dental morphology and inferring dietary ecology in animals. Differences in methodology have brought into question the comparability of different studies. Using primate mandibular second molars, we
Michael A Berthaume +2 more
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The Insight Journal, 2011 This document describes a contribution to the Insight Toolkit intended to support the process of subdivision of triangle mesh. Four approaches, linear, Loop, modified butterfly andsqrt{3}sqrt3subdivision schemes were introduced.
Wanlin Zhu
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Real time compression of triangle mesh connectivity [PDF]
International Conference on Computer Graphics and Interactive Techniques, 1998 Stefan Gumhold, Wolfgang Straßer
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IDTMM: Incremental Direct Triangle Mesh Mapping
IEEE Robotics and Automation Letters, 2023 This letter presents an incremental algorithm to generate triangle meshes from Light Detection and Ranging (LiDAR) point clouds with mesh refinement. The algorithm produces triangle mesh directly from LiDAR output without storing a dense point cloud to ...
Jakub Niedźwiedzki +2 more
semanticscholar +1 more source
Journal of King Saud University: Computer and Information Sciences, 2022 In the present work, a novel algorithm for the continuous projection of point triangles belonging to a triangle mesh is presented. The algorithm uses the normals defined at the vertices of the triangle to perform the projection.
L. Orazi, B. Reggiani
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MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers [PDF]
Computer Vision and Pattern Recognition, 2023 We introduce MeshGPT, a new approach for generating triangle meshes that reflects the compactness typical of artist-created meshes, in contrast to dense triangle meshes extracted by iso-surfacing methods from neural fields. Inspired by recent advances in
Yawar Siddiqui +7 more
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Subdivision-based Mesh Convolution Networks [PDF]
ACM Transactions on Graphics, 2021 Convolutionalneural networks (CNNs) have made great breakthroughs in two-dimensional (2D) computer vision. However, their irregular structure makes it hard to harness the potential of CNNs directly on meshes. A subdivision surface provides a hierarchical
Shimin Hu +6 more
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The optimization design of the triangular mesh of the lamella ellipsoid reticulated shell and the comparative analysis of its static performance [PDF]
E3S Web of Conferences, 2020 Using the traditional geometric principle and ANSYS software Parametric Design Language (APDL), the optimization method is given for the triangular shell mesh of lamella ellipsoid. The mechanical properties of two types of ellipsoidal reticulated shells,
Chong Shuai +3 more
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Cloth and Skin Deformation with a Triangle Mesh Based Convolutional Neural Network
Computer graphics forum (Print), 2020 We introduce a triangle mesh based convolutional neural network. The proposed network structure can be used for problems where input and/or output are defined on a manifold triangle mesh with or without boundary.
N. Chentanez +4 more
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The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images [PDF]
Engineering and Technology Journal, 2012 This paper presents new approach in the edge detection of 3D images (for nonphotorealistic rendering). This new approach uses curvature estimations with lighting effect on triangle mesh as a new factor in edge detection process.
Alaa Noori Mazher
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