The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Automatic generation and detection of highly reliable fiducial markers under occlusion
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
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Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
A Combined Corner and Edge Detector
Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901
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Parallel Tracking and Mapping for Small AR Workspaces
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SUSAN—a new approach to low level image processing
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Cited by
Lin, J., & Zhang, F. (2022) · 2022 International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra46639.2022.9811935 · Cited by 423
Anipose: A toolkit for robust markerless 3D pose estimation
Karashchuk, P., Rupp, K. L., Dickinson, E. S., Walling-Bell, S., Sanders, E., Azim, E., Brunton, B. W., & Tuthill, J. C. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109730 · Cited by 324
Spikol, D., Ruffaldi, E., Dabisias, G., & Cukurova, M. (2018) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12263 · Cited by 180
A Robust Predictive Control Approach for Underwater Robotic Vehicles
Heshmati-Alamdari, S., Karras, G. C., Marantos, P., & Kyriakopoulos, K. J. (2020) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2019.2939248 · Cited by 117
VizLens: A Robust and Interactive Screen Reader for Interfaces in the Real World
Guo, A., Chen, X. '., Qi, H., White, S., Ghosh, S., Asakawa, C., & Bigham, J. P. (2016) · Proceedings of the 29th Annual Symposium on User Interface Software and Technology · doi:10.1145/2984511.2984518 · Cited by 99
Metadata
- Authors
- Garrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F. J., & Marín-Jiménez, M. J.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 47
- Issue
- 6
- Pages
- 2280-2292
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W1994349244
- Cited by
- 2,604
- References
- 10
- FWCI
- 279.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Automatic generation and detection of highly reliable fiducial markers under occlusion. https://app.cochat.ai/papers/10.1016/j.patcog.2014.01.005
- The paper
- Garrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F. J., & Marín-Jiménez, M. J. (2014). Automatic generation and detection of highly reliable fiducial markers under occlusion. Pattern Recognition. https://doi.org/10.1016/j.patcog.2014.01.005
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.