A Critical Analysis of Image-based Camera Pose Estimation Techniques
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Abstract (arXiv)
Camera, and associated with its objects within the field of view, localization could benefit many computer vision fields, such as autonomous driving, robot navigation, and augmented reality (AR). In this survey, we first introduce specific application areas and the evaluation metrics for camera localization pose according to different sub-tasks (learning-based 2D-2D task, feature-based 2D-3D task, and 3D-3D task). Then, we review common methods for structure-based camera pose estimation approaches, absolute pose regression and relative pose regression approaches by critically modelling the methods to inspire further improvements in their algorithms such as loss functions, neural network structures. Furthermore, we summarise what are the popular datasets used for camera localization and compare the quantitative and qualitative results of these methods with detailed performance metrics. Finally, we discuss future research possibilities and applications.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 65 of its 128 references that are in the map. First posted on arXiv 15 Jan 2022.
Builds on
65 of 128 references.
References · 65
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50 most cited of 65 All 65 (JSON)
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Citing papers per year: 2023: 3; 2024: 2; 2025: 1; 2026: 1.
7 papers.
- 2023End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenoncited by 16
- 2023Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environmentscited by 5
- 2023HyperPose: Hypernetwork-Infused Camera Pose Localization and an Extended Cambridge Landmarks Datasetcited by 1
- 2024MambaLoc: Efficient Camera Localisation via State Space Modelcited by 0
- 2024Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graphcited by 0
- 2025Stable Single-Pixel Contrastive Learning for Semantic and Geometric Taskscited by 0
- 2026Automatic dental superimposition of 3D intraorals and 2D photographs for human identificationcited by 0
- 2026Automatic dental superimposition of 3D intraorals and 2D photographs for human identification7 Apr 2026
- 2025Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks4 Dec 2025
- 2024Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph28 Aug 2024
- 2024MambaLoc: Efficient Camera Localisation via State Space Model19 Aug 2024
- 2023End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon28 Sep 2023
- 2023Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments14 Apr 2023
- 2023HyperPose: Hypernetwork-Infused Camera Pose Localization and an Extended Cambridge Landmarks Dataset5 Mar 2023