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The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences
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GRIC is a statistical model selection test used to identify degeneracy cases, and a lower GRIC score indicates the model that explains the data best.
“A statistical model selection test, named Geometric Robust Information Criterion (GRIC), is used to identify cases when degeneracies occur”
From DF-VO: What Should Be Learnt for Visual Odometry? (2021) · cites this paper as Torr et al. 1999
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Metadata
- Authors
- Torr, P. H. S., Fitzgibbon, A. W., & Zisserman, A.
- Affiliations
- Microsoft (United States) (US)
- University of Oxford (GB)
- Corresponding author
- Torr, Philip H.S.
- Zisserman, Andrew
- Venue
- International Journal of Computer Vision
- Published
- 1999-08
- Volume
- 32
- Issue
- 1
- Pages
- 27-44
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W1479736493
- Cited by
- 156
- References
- 44
- Citations by year
- 2026: 6 · 2024: 1 · 2023: 6 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 4 · 2018: 3 · 2017: 3 · 2016: 4 · 2015: 5 · 2014: 5 · 2013: 9 · 2012: 12
- FWCI
- 5.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Computer Vision (publishedVersion)
- Funders
- Innovative Research Group Project of the National Natural Science Foundation of China
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotics and Sensor-Based Localization
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Keywords
- degeneracy, structure from motion, geometric constraints, feature matching, planar scenes, camera translation, statistical model selection, 3D structure recovery
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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