Learning Dense Features for Point Cloud Registration Using a Graph Attention Network

Learning Dense Features for Point Cloud Registration Using a Graph Attention Network

Point cloud registration is a fundamental task in many applications such as localization, mapping, tracking, and reconstruction. Successful registration relies on extracting robust and discriminative geometric features. Though existing learning-based methods require high computing capacity for proce...

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Detalles Bibliográficos
Autores principales: Quoc-Vinh Lai-Dang, Sarvar Hussain Nengroo, Hojun Jin
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2022-07-01
Colección:Applied Sciences
Materias:
deep learning
graph attention network
point cloud registration
Sinkhorn algorithm
Acceso en línea:https://www.mdpi.com/2076-3417/12/14/7023

Internet

https://www.mdpi.com/2076-3417/12/14/7023

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