Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching | |
Fu Yujie1,2; Zhang Pengju1; Liu Bingxi2; Rong Zheng1; Wu Yihong1,2 | |
刊名 | IEEE Transactions on Circuits and Systems for Video Technology
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2023 | |
卷号 | 33期号:3页码:1335 - 1348 |
关键词 | Image Matching Large Scale Changes Scale Difference Reduction Scale Ratio Estimation Covisibility-attention-reinforced Matching Module |
ISSN号 | 1558-2205 |
DOI | 10.1109/TCSVT.2022.3210602 |
英文摘要 | Most image matching methods perform poorly when encountering large scale changes in images. |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/56567] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
通讯作者 | Wu Yihong |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Fu Yujie,Zhang Pengju,Liu Bingxi,et al. Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching[J]. IEEE Transactions on Circuits and Systems for Video Technology,2023,33(3):1335 - 1348. |
APA | Fu Yujie,Zhang Pengju,Liu Bingxi,Rong Zheng,&Wu Yihong.(2023).Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching.IEEE Transactions on Circuits and Systems for Video Technology,33(3),1335 - 1348. |
MLA | Fu Yujie,et al."Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching".IEEE Transactions on Circuits and Systems for Video Technology 33.3(2023):1335 - 1348. |
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