Results 21 to 30 of about 660,845 (375)

Triangle Mesh Compression Based on Reverse Subdivision for Mobile Terminals [PDF]

open access: bronze, 2009
A triangle mesh compression algorithm based on reverse subdivision is introduced. By improving reverse Butterfly simplification algorithm, a mesh simplification algorithm based on reverse Modified Loop scheme is proposed.
Jianping Ma   +3 more
openalex   +2 more sources

Geometric modeling based on triangle meshes [PDF]

open access: greenACM SIGGRAPH 2006 Courses on - SIGGRAPH '06, 2006
This course is designed to cover the entire geometry processing pipeline based on triangle meshes. We will present the latest concepts for mesh generation and mesh repair, for geometry and topology optimizations like mesh smoothing, decimation, and remeshing, for parametrization, segmentation, and shape editing. In addition to describing and discussing
Botsch, Mario   +4 more
openaire   +5 more sources

A perceptual quality metric for dynamic triangle meshes

open access: goldEURASIP Journal on Image and Video Processing, 2017
A measure for assessing the quality of a 3D mesh is necessary in order to determine whether an operation on the mesh, such as watermarking or compression, affects the perceived quality. The studies on this field are limited when compared to the studies for 2D.
Çipiloğlu Yıldız, Zeynep   +1 more
openaire   +6 more sources

INDOOR SPATIAL DATA CONSTRUCTION FROM TRIANGLE MESH [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The 3D triangle mesh is widely used to represent indoor space. One of widely used methods of generating 3D triangle mesh data of indoor space is the construction from the point cloud collected using LIDAR.
D. Kim, A. Bolat, K.-J. Li
doaj   +1 more source

Subdivision-based Mesh Convolution Networks [PDF]

open access: yesACM 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
semanticscholar   +1 more source

Multi-View Mesh Reconstruction with Neural Deferred Shading [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
We propose an analysis-by-synthesis method for fast multi-view 3D reconstruction of opaque objects with arbitrary materials and illumination. State-of-the-art methods use both neural surface representations and neural rendering.
Markus Worchel   +5 more
semanticscholar   +1 more source

The optimization design of the triangular mesh of the lamella ellipsoid reticulated shell and the comparative analysis of its static performance [PDF]

open access: yesE3S 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
doaj   +1 more source

Laplacian2Mesh: Laplacian-Based Mesh Understanding [PDF]

open access: yesIEEE Transactions on Visualization and Computer Graphics, 2022
Geometric deep learning has sparked a rising interest in computer graphics to perform shape understanding tasks, such as shape classification and semantic segmentation.
Qiujie Dong   +5 more
semanticscholar   +1 more source

The Effect of Curvature Estimations and Lighting Factor In The Edge Detection For 3D Rendered Images [PDF]

open access: yesEngineering 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
doaj   +1 more source

Cloth and Skin Deformation with a Triangle Mesh Based Convolutional Neural Network

open access: yesComputer 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
semanticscholar   +1 more source

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