Review on 3D Hand Pose Estimation Based on a RGB Image
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.
3D hand pose estimationdeep learningcomputer visionRGB image
NETL
NSTL
万方数据
维普
