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HUMANNET—A Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction

Majority of current research focuses on a single static object reconstruction from a given pointcloud. However, the existing approaches are not applicable to real world applications such as dynamic and morphing scene reconstruction. To solve this, we propose a novel two-tiered deep neural network ar...

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Bibliographic Details
Published in:Sensors (Basel)
Main Authors: Kulikajevas, Audrius, Maskeliunas, Rytis, Damasevicius, Robertas, Scherer, Rafal
Format: Artigo
Language:Inglês
Published: MDPI 2021
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8229438/
https://ncbi.nlm.nih.gov/pubmed/34201039
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21123945
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