Reconstruction of 3D Object Shape Using Hybrid Modular Neural Network Architecture Trained on 3D Models from ShapeNetCore Dataset

Depth-based reconstruction of three-dimensional (3D) shape of objects is one of core problems in computer vision with a lot of commercial applications. However, the 3D scanning for point cloud-based video streaming is expensive and is generally unattainable to an average user due to required setup o...

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Detalles Bibliográficos
Autores principales: Kulikajevas, Audrius, Maskeliūnas, Rytis, Damaševičius, Robertas, Misra, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480328/
https://www.ncbi.nlm.nih.gov/pubmed/30935104
http://dx.doi.org/10.3390/s19071553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480328/
https://www.ncbi.nlm.nih.gov/pubmed/30935104
http://dx.doi.org/10.3390/s19071553

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