Synthesizing Depth Hand Images with GANs and Style Transfer for Hand Pose Estimation

Synthesizing Depth Hand Images with GANs and Style Transfer for Hand Pose Estimation

Hand pose estimation is a critical technology of computer vision and human-computer interaction. Deep-learning methods require a considerable amount of tagged data. Accordingly, numerous labeled training data are required. This paper aims to generate depth hand images. Given a ground-truth 3D hand p...

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Bibliographic Details
Main Authors: Wangyong He, Zhongzhao Xie, Yongbo Li, Xinmei Wang, Wendi Cai
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
hand pose estimation
generative adversarial networks
style transfer
human-computer interaction
depth images
Online Access:https://www.mdpi.com/1424-8220/19/13/2919

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https://www.mdpi.com/1424-8220/19/13/2919

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