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A fast, efficient, and explicit phase-field model for 3D mesh denoising
J Wang, Z Han, W Jiang, J Kim - Applied Mathematics and Computation, 2023 - Elsevier
In this paper, we propose a fast and efficient explicit three-dimensional (3D) mesh denoising
algorithm that utilizes the Allen–Cahn (AC) equation with a fidelity term. The phase-field …
algorithm that utilizes the Allen–Cahn (AC) equation with a fidelity term. The phase-field …
Probing a point cloud based expeditious approach with deep learning for constructing digital twin models in shopfloor
Z Zhao, Z Zhang, Q Nie, C Liu, H Zhu, K Chen… - Advanced Engineering …, 2024 - Elsevier
In recent years, there has been a notable surge in investment interest in the establishment of
Digital Twin (DT) shopfloors, underscoring the growing importance of DT technology. As …
Digital Twin (DT) shopfloors, underscoring the growing importance of DT technology. As …
Point cloud quality assessment using multi-level features
J Lv, H Su, J Long, J Fang, D Duan, L Zhu… - IEEE Access, 2024 - ieeexplore.ieee.org
Recently, point clouds have emerged as a promising research direction for representing 3D
visual data in various immersive applications, including augmented reality, self-driving cars …
visual data in various immersive applications, including augmented reality, self-driving cars …
[HTML][HTML] Point cloud denoising using a generalized error metric
Effective removal of noises from raw point clouds while preserving geometric features is the
key challenge for point cloud denoising. To address this problem, we propose a novel …
key challenge for point cloud denoising. To address this problem, we propose a novel …
Deep Learning for 3D Point Cloud Enhancement: A Survey
S Quan, J Yu, Z Nie, M Wang, S Feng, P An… - arxiv preprint arxiv …, 2024 - arxiv.org
Point cloud data now are popular data representations in a number of three-dimensional
(3D) vision research realms. However, due to the limited performance of sensors and …
(3D) vision research realms. However, due to the limited performance of sensors and …
一种参数自适应的统计滤波降噪算法
吴姝， 王涛， 崔英花， 冯浩， 宋橙林 - APPLIED LASER, 2024 - opticsjournal.net
摘要在车载激光雷达采集点云数据的过程中, 难以避免地会产生一些噪声或离群点.
为解决车载激光雷达点云数据中的降噪问题, 采用一种参数自适应的统计滤波点云去噪算法 …
为解决车载激光雷达点云数据中的降噪问题, 采用一种参数自适应的统计滤波点云去噪算法 …