Generating Synthetic Depth Image Dataset for Industrial Applications of Hand Localization

In this paper, we focus on the problem of applying domain randomization to produce synthetic datasets for training depth image segmentation models for the task of hand localization. We provide new synthetic datasets for industrial environments suitable for various hand tracking applications, as well...

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Bibliographic Details
Main Authors: Ales Vysocky, Stefan Grushko, Tomas Spurny, Robert Pastor, Tomas Kot
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9893133/