Scene Coordinate Regression
Scene Coordinate Regression is a method in visual localization that regresses, from each input image pixel, its corresponding 3D coordinate in a known scene's global reference frame, thereby enabling dense correspondence mapping between image space and world space for camera pose estimation.
14
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1.5K
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66
Authors
23
Institutions
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2017–2026
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Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
Jamie Shotton, Ben Glocker, Christopher Zach et al. · 2013 · 951 citations
Hierarchical Scene Coordinate Classification and Regression for Visual\n Localization
Xiaotian Li, Shuzhe Wang, Yi Zhao et al. · arXiv (Cornell University) · 2019 · 138 citations · Full text
KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering
Lei Zhou, Zixin Luo, Tianwei Shen et al. · 2020 · 81 citations
VS-Net: Voting with Segmentation for Visual Localization
Zhaoyang Huang, Han Zhou, Yijin Li et al. · 2021 · 48 citations
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Aalto University
Espoo, Finland
2 h-index
7 publications
666 citations

Harbin Institute of Technology
Harbin, China
2 h-index
13 publications
309 citations
Heidelberg University
Heidelberg, Germany
1 h-index
2 publications
52 citations

Heidelberg University
Tiffin, United States
1 h-index
2 publications
52 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
81 citations
State Key Laboratory of Robotics and Systems
Harbin, China
1 h-index
2 publications
54 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
4 publications
68 citations
State Key Laboratory of Turbulence and Complex Systems
Beijing, China
1 h-index
1 publications
17 citations
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3 publications · 65 citations
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Repository · 2 publications · 154 citations
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1 publications · 10 citations
1 publications · 24 citations
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