Underwater Object Recognition Using Point-Features, Bayesian Estimation and Semantic Information

Underwater Object Recognition Using Point-Features, Bayesian Estimation and Semantic Information

This paper proposes a 3D object recognition method for non-coloured point clouds using point features. The method is intended for application scenarios such as Inspection, Maintenance and Repair (IMR) of industrial sub-sea structures composed of pipes and connecting objects (such as valves, elbows a...

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Bibliographic Details
Main Authors: Khadidja Himri, Pere Ridao, Nuno Gracias
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
3D object recognition
point clouds
global descriptors
semantic segmentation
semantic information
Bayesian probabilities
Online Access:https://www.mdpi.com/1424-8220/21/5/1807

Internet

https://www.mdpi.com/1424-8220/21/5/1807

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