Hough forest with optimized leaves for global hand pose estimation with arbitrary postures
Vision-based hand pose estimation is important in human-computer interaction. While many recent works focus on full degree-of-freedom hand pose estimation, robust estimation of global hand pose remains a challenging problem. This paper presents a novel algorithm to optimize the leaf weights in a Hou...
Main Authors: | Liang, Hui, Yuan, Junsong, Lee, Jun, Ge, Liuhao, Thalmann, Daniel |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/139907 |
Similar Items
-
Real-time 3D hand pose estimation with 3D convolutional neural networks
by: Ge, Liuhao, et al.
Published: (2019) -
Weakly-supervised 3D hand pose estimation from monocular RGB images
by: Cai, Yujun, et al.
Published: (2020) -
Hand PointNet : 3D hand pose estimation using point sets
by: Ge, Liuhao, et al.
Published: (2018) -
3D convolutional neural networks for efficient and robust hand pose estimation from single depth images
by: Ge, Liuhao, et al.
Published: (2019) -
A Computational Approach to Hand Pose Recognition in Early Modern Paintings
by: Valentine Bernasconi, et al.
Published: (2023-06-01)