Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1595-1600

Adaptive aggregation and depth refinement multi-view stereo network

Zheng Mipei1
Zhao Mingfu1
Xing Bin2
Song Tao1,2
Xing Ying1
1. Chongqing Key Laboratory of Optical Fiber Sensing & Photoelectric Detection, Chongqing University of Technology, Chongqing 400054, China
2. Chongqing Innovation Center of Industrial Big-Data Co. , Ltd. , Chongqing 400708, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0440

Abstract

In view of the problems that the existing 3D reconstruction methods based on multi views do not fully consider the visibility of pixels in other views, which leads to insufficient reconstruction integrity and difficult reconstruction in weak texture and occlusion areas, this paper proposed an efficient cascaded 3D reconstruction network. Firstly, this paper proposed an adaptive cost aggregation method with visibility awareness for cost aggregation. Then this paper obtained the visibility of the pixels in the view through the network, which could improve the integrity of the occlusion area reconstruction. It predicted the disparity range of each pixel based on variance, and constructed the spatially varying depth hypothesis surface for staged reconstruction. In the last stage, this paper proposed a depth map optimization module based on convolution spatial propagation network to obtain the optimized depth map. Finally, this paper used an improved depth map fusion algorithm to check the consistency of the reprojection errors of the pixels and 3D points in all views, and obtained a dense point cloud. The results of quantitative and qualitative comparison with other methods on DTU data sets show that the proposed method can reconstruct scenes with better performance in detail.

Foundation Support

重庆市科技局基础与前沿研究计划资助项目(cstc2021jcyj-msxmX0348)
重庆英才计划资助项目(cstc2021ycjh-bgzxm0287)
重庆市教委基础研究项目(KJQN201901123)
重庆理工大学研究生教育高质量发展行动计划资助项目(gzlcx20223096,gzlcx20223076)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0440
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Technology of Graphic & Image
Pages: 1595-1600
Serial Number: 1001-3695(2023)05-049-1595-06

Publish History

[2022-11-09] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

郑米培, 赵明富, 邢镔, 等. 基于自适应聚合与深度优化的三维重建算法 [J]. 计算机应用研究, 2023, 40 (5): 1595-1600. (Zheng Mipei, Zhao Mingfu, Xing Bin, et al. Adaptive aggregation and depth refinement multi-view stereo network [J]. Application Research of Computers, 2023, 40 (5): 1595-1600. )

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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