Retrieval and Localization with Observation Constraints
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Abstract (arXiv)
Accurate visual re-localization is very critical to many artificial intelligence applications, such as augmented reality, virtual reality, robotics and autonomous driving. To accomplish this task, we propose an integrated visual re-localization method called RLOCS by combining image retrieval, semantic consistency and geometry verification to achieve accurate estimations. The localization pipeline is designed as a coarse-to-fine paradigm. In the retrieval part, we cascade the architecture of ResNet101-GeM-ArcFace and employ DBSCAN followed by spatial verification to obtain a better initial coarse pose. We design a module called observation constraints, which combines geometry information and semantic consistency for filtering outliers. Comprehensive experiments are conducted on open datasets, including retrieval on R-Oxford5k and R-Paris6k, semantic segmentation on Cityscapes, localization on Aachen Day-Night and InLoc. By creatively modifying separate modules in the total pipeline, our method achieves many performance improvements on the challenging localization benchmarks.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 32 of its 65 references that are in the map. First posted on arXiv 19 Aug 2021.
Builds on
32 of 65 references.
References · 32
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20 more
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Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1; 2025: 2.
6 papers.
- 2024Local Feature Matching Using Deep Learning: A Surveycited by 26
- 2021Pose Refinement with Joint Optimization of Visual Points and Linescited by 14
- 2025UFM: Unified Feature Matching Pre-training with Multi-Modal Image Assistantscited by 1
- 2022A Real-Time Fusion Framework for Long-term Visual Localizationcited by 0
- 2023SGL: Structure Guidance Learning for Camera Localizationcited by 0
- 2025Multiview Image-Based Localizationcited by 0
- 2025Multiview Image-Based Localization30 Mar 2025
- 2025UFM: Unified Feature Matching Pre-training with Multi-Modal Image Assistants26 Mar 2025
- 2024Local Feature Matching Using Deep Learning: A Survey31 Jan 2024
- 2023SGL: Structure Guidance Learning for Camera Localization12 Apr 2023
- 2022A Real-Time Fusion Framework for Long-term Visual Localization18 Oct 2022
- 2021Pose Refinement with Joint Optimization of Visual Points and Lines8 Oct 2021