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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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Sensors (Basel)
Main Authors: Kulikajevas, Audrius, Maskeliūnas, Rytis, Damaševičius, Robertas, Misra, Sanjay
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2019
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6480328/
https://ncbi.nlm.nih.gov/pubmed/30935104
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19071553
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