Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 10
3168-3172

Single-view 3D point cloud reconstruction algorithm based on priori knowledge

Chen Yali1,2,3
Li Haisheng1,2,3
Wang Xiaochuan1,2,3
Li Nan1,2,3
1. School of Computer & Engineering, Beijing Technology & Business University, Beijing 100048, China
2. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing 100048, China
3. National Engineering Laboratory for Agri-product Quality Traceability, Beijing 100048, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0833

Abstract

Single-view 3D reconstruction is an ill-posed problem. Due to the different modes of representation between the image and the 3D model, there are usually self-occlusion, low illumination, and multiple objects. Aiming at the ambiguity of the reconstructed model in the current 3D model reconstruction of a single image, this paper proposed a 3D point cloud model reconstruction method based on the guidance of prior information and multi-geometric angle constraints. Firstly, it obtained prior knowledge by pre-training the 3D point cloud encoder, and minimized the difference between the input image feature vector and the point cloud feature vector, so that the input image feature distribution approximated the point cloud feature distribution. Then, it used a differentiable projection module to project the three-dimensional point cloud representation of the image from different angles to a two-dimensional plane. Finally, it optimized the initial reconstructed point cloud by minimizing the difference between the projected image and the actual projected image in the dataset. The results of quantitative and qualitative comparison with other methods on ShapeNet and Pix3D datasets verify the effectiveness of the proposed algorithm.

Foundation Support

国家自然科学基金资助项目(62277001)
北京市自然科学基金—小米创新联合基金项目(L233026)
北京市教委—市自然基金委联合资助项目(KZ202110011017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0833
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Technology of Graphic & Image
Pages: 3168-3172
Serial Number: 1001-3695(2023)10-044-3168-05

Publish History

[2023-04-03] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

陈雅丽, 李海生, 王晓川, 等. 基于先验知识的单视图三维点云重建算法研究 [J]. 计算机应用研究, 2023, 40 (10): 3168-3172. (Chen Yali, Li Haisheng, Wang Xiaochuan, et al. Single-view 3D point cloud reconstruction algorithm based on priori knowledge [J]. Application Research of Computers, 2023, 40 (10): 3168-3172. )

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.

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