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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 10
3188-3192

3D hand pose estimation method based on improved PointNet

Ma Li
Jin Shanshan
Niu Bin
College of Information, Liaoning University, Shenyang 110036, China
DOI: 10.19734/j.issn.1001-3695.2019.06.0171

Abstract

Due to the difficulty of capturing complex structure of hands, 3D hand pose estimation in single depth image still suffers from the issues of low accuracy and poor robustness. In order to solve these problems, this paper proposed a 3D hand pose estimation method based on improved PointNet. The method firstly used a bounding box localization network to predict a 3D bounding box, and thereby accurately cropped the hand region. Then, it represented the depth image of the hand with point cloud. The point cloud that used to model the visible surface of the hand, could effectively utilize the 3D information in the depth image. At last, the hand point cloud was input into the improved PointNet to accurately estimate 3D hand pose. By introducing a jump connection, the improved PointNet made full use of the features of different levels, so it could capture the complex structure of the hand. The experimental results on NYU hand pose dataset show that the proposed method outperforms most of the existing methods, and the network is simple in structure, easy to train, and fast to run.

Foundation Support

2017年辽宁省科技厅博士科研启动基金指导计划资助项目(20170520276)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0171
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Technology of Graphic & Image
Pages: 3188-3192
Serial Number: 1001-3695(2020)10-063-3188-05

Publish History

[2020-10-05] Printed Article

Cite This Article

马利, 金珊杉, 牛斌. 基于改进PointNet网络的三维手姿估计方法 [J]. 计算机应用研究, 2020, 37 (10): 3188-3192. (Ma Li, Jin Shanshan, Niu Bin. 3D hand pose estimation method based on improved PointNet [J]. Application Research of Computers, 2020, 37 (10): 3188-3192. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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