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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 2
629-634

3D face point cloud model reconstruction based on dynamic selection of feature points

Chen Suya
He Hong
School of Health Science & Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2023.06.0279

Abstract

Aiming at the problems of excessive pseudo feature points can lead to low registration and imprecise registration results in typical point cloud registration methods, this paper proposed a 3D face point cloud model reconstruction method based on dynamic selection of feature points. This method used the dynamic feature matrix solving method to obtain the coarse matching feature transformation matrix during the coarse registration phase, which avoided the interference of false feature points. In the fine registration process, it used the second-order weighted normal vector perpendicular distance method to select more effective feature points on the face manifold surface to reduce the number of false feature points. And it also used the iterative closest point method based on feature fusion and local feature consistency for fine registration. Comparative experiments verified the feasibility of the algorithm. Experimental results show that the proposed method can achieve high-precision and fast reconstruction of three-dimensional face point cloud model. And the root mean square error reaches 1.816 5 mm. Compared with other algorithms, the proposed algorithm can improve the accuracy and efficiency of model reconstruction, and has good application prospects.

Foundation Support

国家科技部资助项目(G2021013008)
上海市科学技术委员会资助项目(18070503000)
上海理工大学医工交叉重点资助项目(1020308405,1022308502)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0279
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 2
Section: Technology of Graphic & Image
Pages: 629-634
Serial Number: 1001-3695(2024)02-047-0629-06

Publish History

[2023-08-31] Accepted Paper
[2024-02-05] Printed Article

Cite This Article

陈素雅, 何宏. 基于特征点动态选择的三维人脸点云模型重建 [J]. 计算机应用研究, 2024, 41 (2): 629-634. (Chen Suya, He Hong. 3D face point cloud model reconstruction based on dynamic selection of feature points [J]. Application Research of Computers, 2024, 41 (2): 629-634. )

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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