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MeshGraphNet: An Effective 3D Polygon Mesh Recognition With Topology Reconstruction

open access: yesIEEE Access, 2020
Three-dimensional polygon mesh recognition has a significant impact on current computer graphics. However, its application to some real-life fields, such as unmanned driving and medical image processing, has been restricted due to the lack of inner ...
An Ping Song   +3 more
doaj   +2 more sources

Construction of new polygon mesh-type phantoms based on adult Japanese voxel phantoms. [PDF]

open access: yesPLoS ONE
To construct adult Japanese phantoms applicable to individual exposure dose assessments, we created adult Japanese polygon mesh-type male (JPM) and female (JPF) phantoms through modification of the adult Japanese voxel phantoms, JM-103 (male) and JF-103 (
Kaoru Sato   +3 more
doaj   +2 more sources

Neural 3D Mesh Renderer

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
For modeling the 3D world behind 2D images, which 3D representation is most appropriate? A polygon mesh is a promising candidate for its compactness and geometric properties. However, it is not straightforward to model a polygon mesh from 2D images using
Harada, Tatsuya   +2 more
core   +2 more sources

Multi-view Convolutional Neural Networks for 3D Shape Recognition [PDF]

open access: yesIEEE International Conference on Computer Vision, 2015
A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be represented with descriptors operating on their native 3D formats, such as voxel grid or polygon mesh, or can they be effectively ...
Kalogerakis, Evangelos   +3 more
core   +5 more sources

Polygon Mesh Generation of Branching Structures [PDF]

open access: yesScandinavian Conference on Image Analysis, 2005
We present a new method for producing locally non intersecting polygon meshes of naturally branching structures. The generated polygon mesh follows the object's underlying structure as close as possible, while still producing polygon meshes that can be visualized efficiently on commonly available graphic acceleration hardware.
J. Skjermo, O. Eidheim
semanticscholar   +2 more sources

Parametric methods for constructing the Islamic ornament [PDF]

open access: yesE3S Web of Conferences, 2021
The article discusses the method of algorithmic construction of Islamic ornaments, which can be used as a decorative element in architectural design. Two necessary stages are highlighted in the generation of an ornamental motif by means of algorithmic ...
Nadyrshine Neil   +4 more
doaj   +1 more source

3D Polygon Mesh Encryption Based on 3D Lorenz Chaotic Map

open access: yesInternational Journal of Interactive Mobile Technologies, 2021
The multimedia application developments in recent years lead to the widespread of 3D model applications. It becomes more popular in various fields as well as exchanging it over the internet.
Nashwan Alsalam Ali   +2 more
semanticscholar   +1 more source

Polylidar - Polygons From Triangular Meshes [PDF]

open access: yesIEEE Robotics and Automation Letters, 2020
This paper presents Polylidar, an efficient algorithm to extract non-convex polygons from 2D point sets, including interior holes. Plane segmented point clouds can be input into Polylidar to extract their polygonal counterpart, thereby reducing map size and improving visualization.
Jeremy Castagno, Ella Atkins
openaire   +2 more sources

Human Middle Ear Anatomy Based on Micro-Computed Tomography and Reconstruction: An Immersive Virtual Reality Development

open access: yesOsteology, 2023
Background: For almost a decade, virtual reality (VR) has been employed in otology simulation. The realism and accuracy of traditional three-dimensional (3D) mesh models of the middle ear from clinical CT have suffered because of their low resolution ...
Kai Cheng   +4 more
doaj   +1 more source

Equidistant and Uniform Data Augmentation for 3D Objects

open access: yesIEEE Access, 2022
Data augmentation is commonly used to increase the size and diversity of the datasets in machine learning. It is of particular importance to evaluate the robustness of the existing machine learning methods.
Alexander Morozov   +2 more
doaj   +1 more source

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