Triple Robustness Augmentation Local Features for multi-source image registration
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Integrating learned depth and optical flow predictions yields consistent pose estimations and improves monocular system accuracy.
“By integrating learned depth and optical flow predictions [134], these systems achieve consistent pose estimations, improving monocular system accuracy.”
From Multimodal fusion and vision–language models: A survey for robot vision (2026) · cites this paper as [134]
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Flagged first, then by citations
Cited by
Sorted by citations
Multimodal fusion and vision–language models: A survey for robot vision
Han, X., Chen, S., Fu, Z., Feng, Z., Fan, L., An, D., Wang, C., Guo, L., Meng, W., Zhang, X., et al. (2026) · Information Fusion · doi:10.1016/j.inffus.2025.103652 · Cited by 41 · see citing works
“These methods leverage complementary sensory inputs such as RGB images, depth data, and inertial measurements to address challenges like sensor noise, dynamic scenes, and varying lighting conditions [134, 135, 136].”
Self-citation
- Authors
- Wang, C., Xu, L., Xu, R., Xu, S., Meng, W., Wang, R., & Zhang, X.
- Affiliations
- University of Calgary (CA)
- Beijing University of Posts and Telecommunications (CN)
- Chinese Academy of Sciences (CN)
- Corresponding author
- Xu, Lele
- Xu, Rongtao
- Xu, Shibiao
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 199
- Pages
- 1-14
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W4362449280
- Cited by
- 22
- References
- 76
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 6 · 2023: 1
- FWCI
- 2.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ISPRS Journal of Photogrammetry and Remote Sensing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Engineering › Ocean Engineering › Satellite Image Processing and Photogrammetry
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- local features, rotation robustness, scale robustness, cross-domain alignment, keypoint detection, remote sensing images
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