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. )

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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.

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