Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2175-2178,2187

Joint 3D face reconstruction and dense alignment algorithm combining multi-scale fusion features and residual attention mechanism

Huang Youda
Zhou Dake
Yang Xin
College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 211100, China
DOI: 10.19734/j.issn.1001-3695.2020.06.0258

Abstract

Aiming at the problem of insufficient accuracy of 3D face reconstruction and dense alignment algorithm, this paper introduced densely connected multi-scale feature fusion module and residual attention mechanism to design a powerful network. For the encoder structure, this paper introduced a densely connected multi-scale feature fusion module to obtain multi-scale fusion features, which made the encoder obtain richer information. The decoder module introduced residual attention mechanism to strengthen the network's attention to important features while suppressing unnecessary noise. According to the experimental results, compared with other algorithms, the proposed algorithm achieves a significant improvement. Compared with the PRNet, the algorithm uses fewer parameters to achieve a performance improvement of 7.7% to 12.1% in various indicators.

Foundation Support

国家自然科学基金资助项目(61573182)
南京航空航天大学研究生创新基地(实验室)开放基金资助项目(kfjj20190322)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.06.0258
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Technology of Graphic & Image
Pages: 2175-2178,2187
Serial Number: 1001-3695(2021)07-048-2175-04

Publish History

[2021-07-05] Printed Article

Cite This Article

黄有达, 周大可, 杨欣. 结合多尺度融合特征和残差注意力机制的联合三维人脸重建及密集对齐算法 [J]. 计算机应用研究, 2021, 38 (7): 2175-2178,2187. (Huang Youda, Zhou Dake, Yang Xin. Joint 3D face reconstruction and dense alignment algorithm combining multi-scale fusion features and residual attention mechanism [J]. Application Research of Computers, 2021, 38 (7): 2175-2178,2187. )

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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