计算机应用研究2024，Vol.41Issue(7)：1930-1939,10.DOI:10.19734/j.issn.1001-3695.2023.10.0528
基于深度学习的图像拼接算法研究综述
Survey on image stitching algorithm based on deep learning
摘要
Abstract
Image stitching is an important branch in computer vision and computer graphics,and has a wide range of applica-tions in 3D imaging and other aspects.Compared with the traditional image stitching framework based on feature point detec-tion,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 re-sults 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.关键词
单应性估计/图像拼接/图像矩形化/深度学习Key words
homography estimation/image stitching/image rectangling/deep learning分类
信息技术与安全科学引用本文复制引用
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):1930-1939,10.基金项目
国家自然科学基金资助项目(62067006) （62067006）
中央引导地方科技发展专项资金资助项目(YDZX20206200003492) （YDZX20206200003492）
甘肃省教育科技创新项目(2021jyjbgs-05) （2021jyjbgs-05）
甘肃省知识产权计划资助项目(21ZSCQ013) （21ZSCQ013）
2022年度中央引导地方科技发展资金资助项目(22ZY1QA002) （22ZY1QA002）
教育部人文社会科学研究项目(21YJC880085) （21YJC880085）
