A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map
[article]
2020
arXiv
pre-print
Preserved Fulltext
3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. ...
Moreover, our augmentation policy for voxelized depth maps further enhances the accuracy of 3D hand pose estimation on real data. ...
Deep Hand Pose and Shape Estimation. Malik et al. [14] proposed the first deep neural network for hand pose and shape estimation from a single depth image. ...
arXiv:2004.01588v1
fatcat:y5rrc6sod5dvze3jamceupkv6i
HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2107.01205v1 fatcat:lwiuhqpyyrc3fmwlltnwyg7hi4
3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. ...
The input to our network is a 3D voxelized-depth-map-based on the truncated signed distance function (TSDF). HandVoxNet++ relies on two hand shape representations. ...
[16] proposed the first deep neural network for hand pose and shape estimation from a single depth image. ...
arXiv:2107.01205v2
fatcat:lsuarjvtqfbqxlojaglsacqxem
Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This paper addresses the 3D point cloud reconstruction and 3D pose estimation of the human hand from a single RGB image. ...
To that end, we present a novel pipeline for local and global point cloud reconstruction using a 3D hand template while learning a latent representation for pose estimation. ...
Handvoxnet: Deep voxel-
based network for 3d hand shape and pose estimation from a single depth map. ...
arXiv:2112.06389v1
fatcat:n6zujacknrfqllnld4vaulia5m
Survey on depth and RGB image-based 3D hand shape and pose estimation
2021
Virtual Reality & Intelligent Hardware
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
hand shape and pose estimation. ...
In this study, we present a comprehensive survey of state-of-the-art 3D hand shape and pose estimation approaches using RGB-D cameras. ...
networks for 3D hand pose estimation. ...
doi:10.1016/j.vrih.2021.05.002
fatcat:4tbhftt3ira6fporaqlscqhsse
Table of Contents
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., CAS, Beijing, China; Peng Cheng Laboratory, Shenzhen, China) HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map 7111 Jameel Malik (TU Kaiserslautern ...
) Oral 1-3A: 3D From a Single Image and Shape-From-X (2); 3D From Multiview and Sensors ( (Université Clermont Auvergne, CNRS, SIGMA Clermont, Institut Pascal, France) , Céline Teulière (Université ...
doi:10.1109/cvpr42600.2020.00004
fatcat:c7els2kee5cq7lh6cemeqhdcoa