Semi-supervised learning approach for localization and pose estimation of texture-less objects in cluttered scenes

Semi-supervised learning approach for localization and pose estimation of texture-less objects in cluttered scenes

3D object recognition and 6D pose estimation are crucial and fundamental endeavours for industrial assembly line automation such as robotic controlled pick-and-place. While the problem on textured objects is extensively studied, it is still an open research topic for texture-less industrial parts, e...

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Bibliografische gegevens
Hoofdauteurs: Gabriel Lugo, Nasim Hajari, Irene Cheng
Formaat: Artikel
Taal:English
Gepubliceerd in: Elsevier 2022-12-01
Reeks:Array
Onderwerpen:
Image analysis
Object recognition
Pose estimation
Online toegang:http://www.sciencedirect.com/science/article/pii/S2590005622000807

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http://www.sciencedirect.com/science/article/pii/S2590005622000807

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