Learning Representative Features by Deep Attention Network for 3D Point Cloud Registration

Three-dimensional point cloud registration, which aims to find the transformation that best aligns two point clouds, is a widely studied problem in computer vision with a wide spectrum of applications, such as underground mining. Many learning-based approaches have been developed and have demonstrat...

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Detalles Bibliográficos
Autores principales: Xia, Xiaokai, Fan, Zhiqiang, Xiao, Gang, Chen, Fangyue, Liu, Yu, Hu, Yiheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145325/
https://www.ncbi.nlm.nih.gov/pubmed/37112464
http://dx.doi.org/10.3390/s23084123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145325/
https://www.ncbi.nlm.nih.gov/pubmed/37112464
http://dx.doi.org/10.3390/s23084123

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