Results 221 to 230 of about 50,928 (258)

Generic Fitting in Point Clouds

2018
The demand for CAD models of the real world is constantly growing. Applications in different domains need adequate modeling. In this contribution, we describe how catalogue-based CAD models and point cloud data are represented by extended boundary graphs and use this representation to fit catalogue-based parts in a point cloud with a maximum common ...
Daniel Klawitter, Oliver Bringmann, Christian Tonn   +2 more
openaire   +1 more source

Generative Modeling in Application to Point Cloud Completion

2020
The three-dimensional data representations have found numerous applications, most notably in SLAM and autonomous driving, where the most widely used type of data is a point cloud. In contrast to the image data, point clouds are unstructured objects, represented as sets of points in three- or six-dimensional (if the colors of surroundings are captured ...
Maciej Zamorski, Maciej Zieba, Jerzy Swiatek   +2 more
openaire   +1 more source

Optimal Point-to-Point geodesic path generation on point clouds

Computer-Aided Design, 2023
Alexander Agathos, Phillip N. Azariadis
openaire   +1 more source

Conditional GAN for Point Cloud Generation

2023
Zhulun Yang, Yijun Chen, Xianwei Zheng, Yadong Chang, Xutao Li   +4 more
openaire   +1 more source

3D Point Cloud Generation for Surface Representation

Point clouds of diverse natures are needed for different geometric model-ing and processing applications. In this work, we propose a new Generative Adversarial Network (GAN), called Dynamic Style-TreeGAN, for the generation of 3D point clouds with quasi-uniform distribution and limited computational costs. While existing GAN models usually do not focus
Carlotta Giannelli, Sofia Imperatore, Mattia Matucci, Matteo Paiano   +3 more
openaire   +2 more sources

A Generalization and Applications to Point Clouds

2023
Roberto Alicandro, Nadia Ansini, Andrea Braides, Andrey Piatnitski, Antonio Tribuzio   +4 more
openaire   +1 more source

C2FNet: A Coarse-to-Fine Network for Multi-View 3D Point Cloud Generation

IEEE Transactions on Image Processing, 2022
Qingming Huang, Wanqing Li, Bo Peng
exaly  

Point Cloud Generation Using Deep Adversarial Local Features for Augmented and Mixed Reality Contents

IEEE Transactions on Consumer Electronics, 2022
Joonki Paik, Minwoo Shin, Sohee Lim
exaly  

Transformer-based Point Cloud Generation Network

Proceedings of the 31st ACM International Conference on Multimedia, 2023
Rui Xu, Le Hui, Yuehui Han, Jianjun Qian, Jin Xie   +4 more
openaire   +1 more source

Generalizing Convolution to Point Clouds

ESANN 2024 proceesdings
Davide Bacciu, Francesco Landolfi
openaire   +1 more source