FlyBy CNN: A 3D surface segmentation framework

In this paper, we present FlyBy CNN, a novel deep learning based approach for 3D shape segmentation. FlyByCNN consists of sampling the surface of the 3D object from different view points and extracting surface features such as the normal vectors. The generated 2D images are then analyzed via 2D conv...

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Detalhes bibliográficos
Publicado no:Proc SPIE Int Soc Opt Eng
Main Authors: Boumbolo, Louis, Dumont, Maxime, Brosset, Serge, Bianchi, Jonas, Ruellas, Antonio, Gurgel, Marcela, Massaro, Camila, Del Castillo, Aron Aliaga, Ioshida, Marcos, Yatabe, Marilia, Benavides, E., Rios, Hector, Soki, Fabiana, Neiva, Gisele, Paniagua, Beatriz, Cevidanes, Lucia, Styner, Martin, Prieto, Juan C.
Formato: Artigo
Idioma:Inglês
Publicado em: 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7983301/
https://ncbi.nlm.nih.gov/pubmed/33758460
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2582205
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