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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 7
2236-2240

Research on stereo matching algorithm based on loss of self-attention mechanism

Guo Qianyua
Wu Yia,b
Liu Huabina
Zhao Pua
a. College of Electronic Information Engineering, b. National Demonstration Center for Experimental(Electronic & Communication Engineering)Education, Hebei University of Technology, Tianjin 300401, China
DOI: 10.19734/j.issn.1001-3695.2021.11.0603

Abstract

Aiming at the problem that existing stereo matching algorithms is difficult to match in shadow, object edge and illumination reflection regions and has a large number of error results, this paper designed a detachable loss self-attention net(LSAnet) to search for the difficult matching regions in images. Each network layer of LSAnet densely connected with each other, it used atrous convolution to increase the receptive field, and carried out dynamic supervised training with the loss distribution generated by stereo matching algorithm as the label, and finally generated a mask for difficult matching areas to assist stereo matching network for better optimization. At the same time, it improved the classical feature matching cost volume structure in stereo matching network, which reduced the computational load of subsequent 3D convolution and improved the matching efficiency. Experimental results show that the proposed algorithm has higher accuracy than the benchmark algorithm, and can improve the robustness of the algorithm for matching difficult regions.

Foundation Support

国家自然科学基金资助项目(E2020202042)
河北省自然科学基金资助项目(51977059)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0603
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 7
Section: Technology of Graphic & Image
Pages: 2236-2240
Serial Number: 1001-3695(2022)07-051-2236-05

Publish History

[2022-01-10] Accepted Paper
[2022-07-05] Printed Article

Cite This Article

郭乾宇, 武一, 刘华宾, 等. 基于损失自注意力机制的立体匹配算法研究 [J]. 计算机应用研究, 2022, 39 (7): 2236-2240. (Guo Qianyu, Wu Yi, Liu Huabin, et al. Research on stereo matching algorithm based on loss of self-attention mechanism [J]. Application Research of Computers, 2022, 39 (7): 2236-2240. )

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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