A Perceptual-Based Noise-Agnostic 3D Skeleton Motion Data Refinement Network

In this paper, we demonstrate a perceptual-based 3D skeleton motion data refinement method based on a bidirectional recurrent autoencoder, called BRA-P. Three main technical contributions are made by the proposed network. First, the proposed BRA-P can address noisy data with different noise types an...

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Bibliographic Details
Main Authors: Shu-Jie Li, Hai-Sheng Zhu, Li-Ping Zheng, Lin Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9034042/