Cascaded Hierarchical CNN for RGB-Based 3D Hand Pose Estimation
Joint Authors
Dai, Shiming
Liu, Wei
Yang, Wenji
Fan, Lili
Zhang, Jihao
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
3D hand pose estimation can provide basic information about gestures, which has an important significance in the fields of Human-Machine Interaction (HMI) and Virtual Reality (VR).
In recent years, 3D hand pose estimation from a single depth image has made great research achievements due to the development of depth cameras.
However, 3D hand pose estimation from a single RGB image is still a highly challenging problem.
In this work, we propose a novel four-stage cascaded hierarchical CNN (4CHNet), which leverages hierarchical network to decompose hand pose estimation into finger pose estimation and palm pose estimation, extracts separately finger features and palm features, and finally fuses them to estimate 3D hand pose.
Compared with direct estimation methods, the hand feature information extracted by the hierarchical network is more representative.
Furthermore, concatenating various stages of the network for end-to-end training can make each stage mutually beneficial and progress.
The experimental results on two public datasets demonstrate that our 4CHNet can significantly improve the accuracy of 3D hand pose estimation from a single RGB image.
American Psychological Association (APA)
Dai, Shiming& Liu, Wei& Yang, Wenji& Fan, Lili& Zhang, Jihao. 2020. Cascaded Hierarchical CNN for RGB-Based 3D Hand Pose Estimation. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1201118
Modern Language Association (MLA)
Dai, Shiming…[et al.]. Cascaded Hierarchical CNN for RGB-Based 3D Hand Pose Estimation. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1201118
American Medical Association (AMA)
Dai, Shiming& Liu, Wei& Yang, Wenji& Fan, Lili& Zhang, Jihao. Cascaded Hierarchical CNN for RGB-Based 3D Hand Pose Estimation. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1201118
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201118