3D point cloud simplification based on the clustering algorithm and introducing the Shannon's entropy

Abdelaaziz Mahdaoui, El Hassan Sbai. 3D point cloud simplification based on the clustering algorithm and introducing the Shannon's entropy. In Wolfgang Osten, Dmitry P. Nikolaev, editors, Thirteenth International Conference on Machine Vision, ICMV 2020, Rome, Italy, November 2-6, 2020. Volume 11605 of SPIE Proceedings, SPIE, 2020. [doi]

@inproceedings{MahdaouiS20-0,
  title = {3D point cloud simplification based on the clustering algorithm and introducing the Shannon's entropy},
  author = {Abdelaaziz Mahdaoui and El Hassan Sbai},
  year = {2020},
  doi = {10.1117/12.2588384},
  url = {https://doi.org/10.1117/12.2588384},
  researchr = {https://researchr.org/publication/MahdaouiS20-0},
  cites = {0},
  citedby = {0},
  booktitle = {Thirteenth International Conference on Machine Vision, ICMV 2020, Rome, Italy, November 2-6, 2020},
  editor = {Wolfgang Osten and Dmitry P. Nikolaev},
  volume = {11605},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510640412},
}