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Point Cloud Deep Learning Network Based on Balanced Sampling and Hybrid Pooling

The automatic semantic segmentation of point cloud data is important for applications in the fields of machine vision, virtual reality, and smart cities. The processing capability of the point cloud segmentation method with PointNet++ as the baseline needs to be improved for extremely imbalanced poi...

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Detalles Bibliográficos
Autores principales: Deng, Chunyuan, Peng, Zhenyun, Chen, Zhencheng, Chen, Ruixing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864937/
https://www.ncbi.nlm.nih.gov/pubmed/36679776
http://dx.doi.org/10.3390/s23020981