The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Epipolar Geometry for Central Catadioptric Cameras
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Citations
Cites
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
Cited by
A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion
Scaramuzza, D., Martinelli, A., & Siegwart, R. (2006) · Fourth IEEE International Conference on Computer Vision Systems (ICVS'06) · doi:10.1109/icvs.2006.3 · Cited by 417
Omnidirectional 3D reconstruction in augmented Manhattan worlds
Schonbein, M., & Geiger, A. (2014) · 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2014.6942637 · Cited by 63
An Enhanced Unified Camera Model
Khomutenko, B., Garcia, G., & Martinet, P. (2016) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2015.2502921 · Cited by 58
Unifying Image Plane Liftings for Central Catadioptric and Dioptric Cameras
Barreto, J. P. (2006) · Imaging Beyond the Pinhole Camera · doi:10.1007/978-1-4020-4894-4_2 · Cited by 26
Metadata
- Authors
- Svoboda, T., & Pajdla, T.
- Venue
- International Journal of Computer Vision
- Published
- 2002-08
- Volume
- 49
- Issue
- 1
- Pages
- 23-37
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W1581235021
- Cited by
- 197
- References
- 1
- FWCI
- 5.62
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- CoChat. (2026). Citation check: Epipolar Geometry for Central Catadioptric Cameras. https://app.cochat.ai/papers/10.1023/a:1019869530073
- The paper
- Svoboda, T., & Pajdla, T. (2002). Epipolar Geometry for Central Catadioptric Cameras. International Journal of Computer Vision. https://doi.org/10.1023/a%3A1019869530073
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
