Cited by 156Advanced Vision and ImagingRobotics and Sensor-Based LocalizationVideo Surveillance and Tracking Methods

The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences

Torr, Philip H.S., Fitzgibbon, Andrew W., Zisserman, Andrew·1999·International Journal of Computer Vision

Integrity signals

Registry

Crossref · 10.1023/a:1008140928553

Cites

42 of 42 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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

Cites

Flagged first, then by citations

2 of the 44 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. Ayache, N. 1991. Artificial Vision for Mobile Robots. MIT Press: Cambridge.
  2. Zeller, C. 1996. Projective, Affine and Euclidean Calibration in Compute Vision and the Application of Three Dimensional Perception. Ph.D. Thesis, RobotVis Group, INRIA Sophia-Antipolis.

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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
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 › Engineering › Aerospace Engineering › 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

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