The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
AprilTag: A robust and flexible visual fiducial system
Abstract
While the use of naturally-occurring features is a central focus of machine perception, artificial features (fiducials) play an important role in creating controllable experiments, ground truthing, and in simplifying the development of systems where perception is not the central objective. We describe a new visual fiducial system that uses a 2D bar code style "tag", allowing full 6 DOF localization of features from a single image. Our system improves upon previous systems, incorporating a fast and robust line detection system, a stronger digital coding system, and greater robustness to occlusion, warping, and lens distortion. While similar in concept to the ARTag system, our method is fully open and the algorithms are documented in detail.
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Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
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Efficient Graph-Based Image Segmentation
Felzenszwalb, P. F., & Huttenlocher, D. P. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000022288.19776.77 · Cited by 6,176
LabelMe: A Database and Web-Based Tool for Image Annotation
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Marker tracking and HMD calibration for a video-based augmented reality conferencing system
Kato, H., & Billinghurst, M. (2003) · Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99) · doi:10.1109/iwar.1999.803809 · Cited by 2,194
ARTag, a Fiducial Marker System Using Digital Techniques
Fiala, M. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.74 · Cited by 860
Pose tracking from natural features on mobile phones
Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T., & Schmalstieg, D. (2008) · 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2008.4637338 · Cited by 420
Matrix animation and polar decomposition
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Cited by
Bousmalis, K., Trigeorgis, G., Silberman, N., Krishnan, D., & Erhan, D. (2016) · arXiv · doi:10.48550/arxiv.1608.06019 · Cited by 1,208
“An example is the labeling of a dataset with the use of AprilTags [21], 2D barcodes that can be used to label the pose of an object, provided that a camera is calibrated and the physical dimensions of the barcode are known.”
MethodGarcía de Soto, B., Agustí-Juan, I., Hunhevicz, J., Joss, S., Graser, K., Habert, G., & Adey, B. T. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.04.004 · Cited by 474
Large language models for chemistry robotics
Yoshikawa, N., Skreta, M., Darvish, K., Arellano-Rubach, S., Ji, Z., Bjørn Kristensen, L., Li, A. Z., Zhao, Y., Xu, H., Kuramshin, A., et al. (2023) · Autonomous Robots · doi:10.1007/s10514-023-10136-2 · Cited by 112
Prompting Prosocial Human Interventions in Response to Robot Mistreatment
Connolly, J., Mocz, V., Salomons, N., Valdez, J., Tsoi, N., Scassellati, B., & Vázquez, M. (2020) · Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/3319502.3374781 · Cited by 71
PaintCopter: An Autonomous UAV for Spray Painting on Three-Dimensional Surfaces
Vempati, A. S., Kamel, M., Stilinovic, N., Zhang, Q., Reusser, D., Sa, I., Nieto, J., Siegwart, R., & Beardsley, P. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2846278 · Cited by 60
Metadata
- Authors
- Olson, E.
- Venue
- 2011 IEEE International Conference on Robotics and Automation
- Publisher
- IEEE
- Published
- 2011-05
- Pages
- 3400-3407
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2125188427
- Cited by
- 1,770
- References
- 12
- FWCI
- 16.83
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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