The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Video Compass
Overview
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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
Using vanishing points for camera calibration
Caprile, B., & Torre, V. (1990) · International Journal of Computer Vision · doi:10.1007/bf00127813 · Cited by 711
Manhattan World: compass direction from a single image by Bayesian inference
Coughlan, J. M., & Yuille, A. L. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790349 · Cited by 475
Multiple View Geometry in Computer Vision.
Wrobel, B. P. (2001) · Künstliche Intell. · Cited by 367
Automatic recovery of relative camera rotations for urban scenes
Antone, M. E., & Teller, S. J. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2000.854809 · Cited by 174
A New Approach for Vanishing Point Detection in ArchitecturalEnvironments
Rother, C. (2000) · British Machine Vision Conference (BMVC) · doi:10.5244/c.14.40 · Cited by 141
Combining scene and auto-calibration constraints
Liebowitz, D., & Zisserman, A. (1999) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1999.791233 · Cited by 138
Cited by
Indoor segmentation and support inference from rgbd images
Silberman, N., Hoiem, D., Kohli, P., & Fergus, R. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33715-4_54 · Cited by 5,760
SUN database: Large-scale scene recognition from abbey to zoo
Xiao, J., Hays, J., Ehinger, K. A., Oliva, A., & Torralba, A. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539970 · Cited by 3,283
Recovering Surface Layout from an Image
Hoiem, D., Efros, A. A., & Hebert, M. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0031-y · Cited by 674
Hoiem, D., Efros, A. A., & Hebert, M. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073232 · Cited by 616
Non-iterative approach for fast and accurate vanishing point detection
Tardif, J.-P. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459328 · Cited by 264
Metadata
- Authors
- Košecká, J., & Zhang, W.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2002
- Pages
- 476-490
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2911355490
- Cited by
- 293
- References
- 7
- FWCI
- 3.82
- Type
- conference paper
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Video Compass. https://app.cochat.ai/papers/10.1007/3-540-47979-1_32
- The paper
- Košecká, J., & Zhang, W. (2002). Video Compass. Lecture Notes in Computer Science. https://doi.org/10.1007/3-540-47979-1_32
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.
