基于RGB图像的三维人手姿态估计技术综述
Review on 3D Hand Pose Estimation Based on a RGB Image
肖一 1刘越1
作者信息
- 1. 北京理工大学光电学院 北京 100081
- 折叠
摘要
鉴于RGB相机在虚拟现实头盔等移动计算设备中的普遍性,基于RGB图像的三维人手姿态估计技术具有广阔的应用前景和研究价值,近年来已成为计算机视觉领域的一个研究热点.得益于深度学习技术的快速发展,与之相关的三维人手姿态估计算法层出不穷.文中回顾和总结了三维人手姿态估计技术.首先简述了三维人手姿态估计的相关工作,指出了其当前面临的挑战;然后梳理了基于RGB图像的三维人手姿态估计算法,对现有的基于参数模型方法和非参数模型方法进行了讨论,分析了每类算法包含的技术方法以及优缺点;之后总结了相关的三维手数据集与评价标准,并比较了每类算法在常用数据集上的表现;最后探讨了该技术的发展前景.
Abstract
Due to the ubiquity of RGB cameras in mobile computing devices such as virtual reality headsets,the 3D hand pose estimation technology based on a RGB image has broad application prospects and research value,which becomes a research hotspot in the field of computer vision in recent years.Thanks to the devel-opment of deep learning technology,algorithms related to 3D hand pose estimation emerge in endlessly.This pa-per reviews and summarizes the 3D hand pose estimation technology.Firstly the relevant work on 3D hand pose estimation is briefly described,and the current challenges it faces are pointed out;then the algorithms of 3D hand pose estimation from a single RGB image are reviewed,and the existing model-based methods and model-free methods are discussed;then the relevant datasets and evaluation criteria are summarized;finally the development prospects of this technology are discussed.
关键词
三维人手姿态估计/深度学习/计算机视觉/RGB图像Key words
3D hand pose estimation/deep learning/computer vision/RGB image引用本文复制引用
基金项目
国家自然科学基金(61960206007)
高等学校学科创新引智计划(B18005)
出版年
2024
NETL
NSTL
维普
万方数据