Technology of Graphic & Image
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3462-3466

Stereo matching network based on multilevel cascaded recurrent

Yang Xiuze
Pan Mingzhang
Li Jing
Liao Xiaolan
Wang Shuo
Liang Ke
School of Mechanical Engineering, Guangxi University, Nanning 530004, China

Abstract

To improve the problem that existing stereo matching algorithms have difficulty in maintaining a good balance between higher parallax estimation accuracy and faster model inference speed, this paper proposed an efficient and accurate multilayer cascaded recurrent stereo-matching network. Firstly, this paper designed a multilayer network to introduce position encoding and self-attention mechanisms on the higher resolution feature maps, then updated the disparity values using the disparity refinement strategies of hierarchical recurrent refinement, cascaded refinement, and recurrent refinement to recover the detailed information of stereo images better. In addition, this paper improved the method of disparity iterative update by using a lightweight group correlation layer at a low scale and an adaptive group correlation layer at a large scale to update the disparity values, which reduced the computational effort of parallax iterative update and improved the inference speed of the model. The experimental results show that the proposed algorithm has a faster model inference speed than others while achieving a competitive parallax estimation accuracy.

Foundation Support

广西科技基地和人才专项资助项目(2021AC19324)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0043
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Technology of Graphic & Image
Pages: 3462-3466
Serial Number: 1001-3695(2023)11-040-3462-05

Publish History

[2023-04-21] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

杨秀泽, 潘明章, 李劲, 等. 基于多层级联循环的立体匹配网络 [J]. 计算机应用研究, 2023, 40 (11): 3462-3466. (Yang Xiuze, Pan Mingzhang, Li Jing, et al. Stereo matching network based on multilevel cascaded recurrent [J]. Application Research of Computers, 2023, 40 (11): 3462-3466. )

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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