„Point cloud“

Suchergebnisse

3.060 Treffer

• Edge-aware joint neural denoising and normal estimation for mobile and handheld laser point clouds
  Zhang, Tian ; Filin, Sagi
• Geometrically aware transformer for point cloud analysis
  Chen, Siyuan ; Fang, Zhiwei ; Wan, Siyao ; Zhou, Ting ; Chen, Chunlin ; Wang, Meng ; Li, Qianming
• Employing variance component estimation for point cloud based geometric surface representation by B-splines
  Ötsch, Elisabeth ; Harmening, Corinna ; Neuner, Hans-Berndt
• Extraction of individual tree attributes using ultra-high-density point clouds acquired by low-cost UAV-LiDAR in Eucalyptus plantations
  Zhou, Mei ; Li, Chungan ; Li, Zhen
• CLEARANCE MEASUREMENT VALIDATION FOR HIGHWAY INFRASTRUCTURE WITH USE OF LIDAR POINT CLOUDS
  Meinderts, J. P. ; Lindenbergh, Roderik ; van der Heide, D. H. ; Amiri-Simkooei, A. ; Truong-Hong, L.
• EFFICIENT SPARSE STREET FURNITURE EXTRACTION FROM MOBILE LASER SCANNING POINT CLOUDS
  Truong-Hong, L. ; Lindenbergh, Roderik ; Vermeij, M. J.
• A TWO-STEP FEATURE EXTRACTION ALGORITHM: APPLICATION TO DEEP LEARNING FOR POINT CLOUD CLASSIFICATION
  Nurunnabi, A. ; Teferle, Felicia Norma ; Laefer, D. F. ; Lindenbergh, Roderik ; Hunegnaw, A.
• INVESTIGATION OF POINTNET FOR SEMANTIC SEGMENTATION OF LARGE-SCALE OUTDOOR POINT CLOUDS
  Nurunnabi, A. ; Teferle, Felicia Norma ; Li, J. ; Lindenbergh, Roderik ; Parvaz, S.
• TOWARDS A DIGITAL TWIN OF A STORAGE TANK USING LASER SCAN DATA
  Truong-Hong, L. ; Nguyen, N. ; Lindenbergh, Roderik ; Fisk, P. ; Huynh, T.
• ENVIRONMENTAL INFLUENCES ON THE STABILITY OF A PERMANENTLY INSTALLED LASER SCANNER
  Kuschnerus, M. ; Schröder, D. ; Lindenbergh, Roderik
• ROAD TYPE CLASSIFICATION OF MLS POINT CLOUDS USING DEEP LEARNING
  Bai, Q. ; Lindenbergh, Roderik ; Vijverberg, J. ; Guelen, J. A. P.
• AN EFFICIENT DEEP LEARNING APPROACH FOR GROUND POINT FILTERING IN AERIAL LASER SCANNING POINT CLOUDS
  Nurunnabi, A. ; Teferle, Felicia Norma ; Li, J. ; Lindenbergh, Roderik ; Hunegnaw, A.
• Optimization and Evaluation of Smooth Blasting Based on RSM-BBD and Point Cloud Data
  Zhang, Xiang ; Yang, Yang ; Yang, Renshu ; Li, Jin ; Zhao, Yong ; Wang, Shushuai ; Chen, Shulin ; Li, Xiaojie
• Partial contrastive point cloud self-supervised representation learning
  Cheng, Zijun ; Wang, Yiguo
• Scene point cloud classification based on stacked ensemble learning algorithm
  Wu, Dong ; Yan, Weidong ; Wang, Jingli
• The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction
  Vlachos, Marinos ; Skarlatos, Dimitrios ; Demesticha, Stella
• Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments
  Asgharian Pournodrati, Lida ; Baba, Mohammad Mahdi ; Gangelhoff, Jannis ; Sörgel, Uwe
• Automation of environment modelling in the automotive industry by 3D point cloud segmentation using Bayesian neural networks
  Petschnigg, Christina
• GGF: Global Geometric Feature for Rotation-Invariant Point Cloud Understanding
  Xiao, Yun-Zhe ; Li, Fu ; Wang, Hao-Tian ; Yang, Shao-Wu
• A dual projection method for semantic segmentation of large-scale point clouds
  Zhao, Haoying ; Zhou, Aimin