Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
925-930

Robust 3D hand pose estimation based on three-level cascade neural network

Zou Xuyan1,2
He Hanwu1,3
Wu Yueming1
1. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
2. Dept. of Artificial Intelligence & Big Data, Yibin University, Yibin Sichuan 644000, China
3. Guangdong Polytechnic of Industry & Commerce, Guangzhou 510510, China
DOI: 10.19734/j.issn.1001-3695.2021.06.0289

Abstract

Human understanding of things is often from coarse to fine and then to refined. Inspired by the cognitive process, this paper proposed a new gesture estimation network structure based on hand topology. Firstly, this model extracted the global feature from the angle of the whole hand, then extracted the local feature from the angle of the finger, finally extracted the refined feature from the angle of the joint point, and regressed the 3D spatial coordinate information of each joint point by fusing the different features of the three stages. Since the depth map only saved the depth information from the target point to the camera, taking the depth map as the input of the neural network, the convolution kernel couldn't directly obtain the coordinate information in the other two directions. In order to obtain the coordinate information of the other two directions, it converted the depth map into a 3-channel image using the camera imaging principle, which improved the regression accuracy of the neural network. This paper trained and tested the model on the NYU and MSARA datasets. The test results show that the proposed network structure and the transformation of the input data have achieved good results.

Foundation Support

国家重点研发专项资助项目(2018YFB1004902)
广东省重点研发资助项目(2017B010110008)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0289
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Technology of Graphic & Image
Pages: 925-930
Serial Number: 1001-3695(2022)03-049-0925-06

Publish History

[2021-11-07] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

邹序焱, 何汉武, 吴悦明. 基于三级神经网络的鲁棒3D手姿估计 [J]. 计算机应用研究, 2022, 39 (3): 925-930. (Zou Xuyan, He Hanwu, Wu Yueming. Robust 3D hand pose estimation based on three-level cascade neural network [J]. Application Research of Computers, 2022, 39 (3): 925-930. )

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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