3D hand pose estimation from a single RGB image by weighting the occlusion and classification-Reference-Cited by-同舟云学术

3D hand pose estimation from a single RGB image by weighting the occlusion and classification

Published:2023-04 Issue: Volume:136 Page:109217
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Mahdikhanlou Khadijeh,Ebrahimnezhad Hossein^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference48 articles.

1. Hand action detection from ego-centric depth sequences with error-correcting Hough transform;Xu;Pattern Recognit.,2017

2. Multimodal 3D American sign language recognition for static alphabet and numbers using hand joints and shape coding;Mahdikhanlou;Multimed. Tools Appl.,2020

3. Indian and english language to sign language translator-an automated portable two way communicator for bridging normal and deprived ones;Priya,2020

4. An approach for minimizing the time taken by video processing for translating sign language to simple sentence in english;Kar,2015

5. Object manipulation and deformation using hand gestures;Mahdikhanlou;J. Ambient. Intell. Humaniz. Comput.,2021

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1. RGB Image-Based Hand Pose Estimation: A Survey on Deep Learning Perspective;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

2. ACENet: Attention-Driven Contextual Features-Enhanced Lightweight EfficientNet for 2D Hand Pose Estimation;2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ);2023-11-29

3. ConvST-LSTM-Net: convolutional spatiotemporal LSTM networks for skeleton-based human action recognition;International Journal of Multimedia Information Retrieval;2023-10-27