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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 7
1930-1939

Survey on image stitching algorithm based on deep learning

Yang Lichuna,b
Tian Binb
Dang Jianwub
a. Key Laboratory of Optoelectronic Technology & Intelligent Control, Ministry of Education, b. School of Electronic & Information Enginee-ring, Lanzhou Jiaotong University, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2023.10.0528

Abstract

Image stitching is an important branch in computer vision and computer graphics, and has a wide range of applications in 3D imaging and other aspects. Compared with the traditional image stitching framework based on feature point detection, the image stitching framework based on deep learning has stronger scene generalization performance. Although there are many research results on image stitching based on deep learning, there is still a lack of comprehensive analysis and summary of the corresponding research. In order to facilitate the subsequent work in this field, this paper sorted out the representative results in this field in the past 10 years. Based on the comparison between traditional stitching methods and deep learning-based image stitching methods, it collated and analysed the learning strategy and model architecture design, classical model review, and dataset from the three sub-problems of homography estimation, image stitching, and image rectangling in the research field of image stitching. It summarized some features of deep learning-based image stitching research methods and summarized the current research status in the field, and prospected the future research prospects.

Foundation Support

国家自然科学基金资助项目(62067006)
中央引导地方科技发展专项资金资助项目(YDZX20206200003492)
甘肃省教育科技创新项目(2021jyjbgs-05)
甘肃省知识产权计划资助项目(21ZSCQ013)
2022年度中央引导地方科技发展资金资助项目(22ZY1QA002)
教育部人文社会科学研究项目(21YJC880085)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.10.0528
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 7
Section: Survey
Pages: 1930-1939
Serial Number: 1001-3695(2024)07-002-1930-10

Publish History

[2024-03-25] Accepted Paper
[2024-07-05] Printed Article

Cite This Article

杨利春, 田彬, 党建武. 基于深度学习的图像拼接算法研究综述 [J]. 计算机应用研究, 2024, 41 (7): 1930-1939. (Yang Lichun, Tian Bin, Dang Jianwu. Survey on image stitching algorithm based on deep learning [J]. Application Research of Computers, 2024, 41 (7): 1930-1939. )

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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