DOPNet: Achieving Accurate and Efficient Point Cloud Registration Based on Deep Learning and Multi-Level Features

Point cloud registration aims to find a rigid spatial transformation to align two given point clouds; it is widely deployed in many areas of computer vision, such as target detection, 3D localization, and so on. In order to achieve the desired results, registration error, robustness, and efficiency...

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Detalles Bibliográficos
Autores principales: Yi, Rongbin, Li, Jinlong, Luo, Lin, Zhang, Yu, Gao, Xiaorong, Guo, Jianqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655122/
https://www.ncbi.nlm.nih.gov/pubmed/36365915
http://dx.doi.org/10.3390/s22218217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655122/
https://www.ncbi.nlm.nih.gov/pubmed/36365915
http://dx.doi.org/10.3390/s22218217

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