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Learning Polynomial-Based Separable Convolution for 3D Point Cloud Analysis

Shape classification and segmentation of point cloud data are two of the most demanding tasks in photogrammetry and remote sensing applications, which aim to recognize object categories or point labels. Point convolution is an essential operation when designing a network on point clouds for these ta...

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Detalles Bibliográficos
Autores principales:	Yu, Ruixuan, Sun, Jian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235014/ https://www.ncbi.nlm.nih.gov/pubmed/34205310 http://dx.doi.org/10.3390/s21124211

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