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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Veröffentlicht in:Proc SPIE Int Soc Opt Eng
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2021
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Article
Online Zugang: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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