Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 6
1867-1870

Research of deep learning based 3D skeleton model reconstruction method from human motion sketch

Ma Haoa,b
Li Shuqina,b
Ding Menga,b
a. School of Computer, b. Joint Laboratory of Sensing & Computational Intelligence, Beijing Information Science & Technology University, Beijing 100101, China
DOI: 10.19734/j.issn.1001-3695.2018.11.0921

Abstract

In order to improve the modeling efficiency of 3D human skeleton model and simplify the interaction rules, this paper presented a deep learning based 3D skeleton model reconstruction method from human motion sketch. Firstly, this method rendered the 3D skeleton models into 2D images to establish the dimension mapping and then used the image classification method to recognize motion from sketch and further to realize 3D skeleton model reconstruction according to the dimension mapping between 2D and 3D. This method built the image classification model base on CNN and used a shallow convolutional network as the training unit in the experiment. This method also used hierarchical classification and blocking training scheme to accelerate the convergence time of network to improve training efficiency. Finally, the experiment results verify the feasibility and effectiveness of this method.

Foundation Support

国家自然科学基金资助项目(61502039)
2017年度教育教学改革研究专项招标课题(2017JGZB08)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0921
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 6
Section: Technology of Graphic & Image
Pages: 1867-1870
Serial Number: 1001-3695(2020)06-055-1867-04

Publish History

[2020-06-05] Printed Article

Cite This Article

马昊, 李淑琴, 丁濛. 基于深度学习的人体动作草图到三维骨骼模型重建方法的研究 [J]. 计算机应用研究, 2020, 37 (6): 1867-1870. (Ma Hao, Li Shuqin, Ding Meng. Research of deep learning based 3D skeleton model reconstruction method from human motion sketch [J]. Application Research of Computers, 2020, 37 (6): 1867-1870. )

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  • Application Research of Computers Monthly Journal
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    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.

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