DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point Clouds

Unlike 2-dimensional (2D) images, direct 3-dimensional (3D) point cloud processing using deep neural network architectures is challenging, mainly due to the lack of explicit neighbor relationships. Many researchers attempt to remedy this by performing an additional voxelization preprocessing step. H...

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Detalles Bibliográficos
Autores principales: Sheikh, Mehak, Asghar, Muhammad Adeel, Bibi, Ruqia, Malik, Muhammad Noman, Shorfuzzaman, Mohammad, Mehmood, Raja Majid, Kim, Sun-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003323/
https://www.ncbi.nlm.nih.gov/pubmed/35408126
http://dx.doi.org/10.3390/s22072512

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003323/
https://www.ncbi.nlm.nih.gov/pubmed/35408126
http://dx.doi.org/10.3390/s22072512

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