The DOI matches its Crossref record; 496 of the 496 references it cites were found in a registry or an index.
A review of multimodal image matching: Methods and applications
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Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Image-to-Image Translation with Conditional Adversarial Networks
Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.632 · Cited by 22,930
GAN（Generative Adversarial Nets）
(2017) · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · doi:10.3156/jsoft.29.5_177_2 · Cited by 19,270
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Object recognition from local scale-invariant features
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“LoG is approximated by the difference of Gaussians (DoG) in the famous SIFT method [121,160] to reduce computation.”
MethodAdvances in Neural Information Processing Systems 19
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Cited by
Image fusion meets deep learning: A survey and perspective
Zhang, H., Xu, H., Tian, X., Jiang, J., & Ma, J. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.06.008 · Cited by 834
Self-citationA Review of Keypoints’ Detection and Feature Description in Image Registration
Liu, C., Xu, J., & Wang, F. (2021) · Scientific Programming · doi:10.1155/2021/8509164 · Cited by 47
Triple Robustness Augmentation Local Features for multi-source image registration
Wang, C., Xu, L., Xu, R., Xu, S., Meng, W., Wang, R., & Zhang, X. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2023.03.023 · Cited by 22
Kazmi, S. M. K. A., Aafaq, N., Khan, M. A., Khalil, M., & Saleem, A. (2023) · IEEE Access · doi:10.1109/access.2023.3299878 · Cited by 13
Metadata
- Authors
- Jiang, X., Ma, J., Xiao, G., Shao, Z., & Guo, X.
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 73
- Pages
- 22-71
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W3134976640
- Cited by
- 532
- References
- 496
- FWCI
- 30.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jiang, X., Ma, J., Xiao, G., Shao, Z., & Guo, X. (2021). A review of multimodal image matching: Methods and applications. Information Fusion. https://doi.org/10.1016/j.inffus.2021.02.012
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
