The DOI matches its Crossref record.
Training Models of Shape from Sets of Examples
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The use of active shape models for locating structures in medical images
Cootes, T. F., Hill, A., Taylor, C. J., & Haslam, J. (2005) · Lecture Notes in Computer Science · doi:10.1007/bfb0013779 · Cited by 297
Self-citationJacob, G., Noble, J. A., Behrenbruch, C., Kelion, A. D., & Banning, A. P. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/42.996341 · Cited by 142
Modeling of deformable objects for robotic manipulation: A tutorial and review
Arriola-Rios, V. E., Guler, P., Ficuciello, F., Kragic, D., Siciliano, B., & Wyatt, J. L. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00082 · Cited by 126
3D reconstruction of medical images from slices automatically landmarked with growing neural models
Angelopoulou, A., Psarrou, A., Garcia-Rodriguez, J., Orts-Escolano, S., Azorin-Lopez, J., & Revett, K. (2015) · Neurocomputing · doi:10.1016/j.neucom.2014.03.078 · Cited by 31
Metadata
- Authors
- Cootes, T. F., Taylor, C. J., Cooper, D. H., & Graham, J.
- Venue
- Procedings of the British Machine Vision Conference 1992
- Publisher
- Springer-Verlag London Limited
- Published
- 1992
- Pages
- 2.1-2.10
- OpenAlex
- W3143250005
- Cited by
- 169
- References
- 0
- FWCI
- 1.74
- Type
- conference paper
- Language
- en
- Open access
- green
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Training Models of Shape from Sets of Examples. https://app.cochat.ai/papers/10.5244/c.6.2
- The paper
- Cootes, T. F., Taylor, C. J., Cooper, D. H., & Graham, J. (1992). Training Models of Shape from Sets of Examples. Procedings of the British Machine Vision Conference 1992. https://doi.org/10.5244/c.6.2
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.
