More information about the aim of our work can be found in our paper. If you use this dataset, make sure you cite this work as: Latex:
The data set includes: 100 recordings of shots made in the blackball billiard modality; 100 recordings of shots in the carom billiard modality; 100 recordings of shots in the snooker billiard modality. In addition, not only are these recordings available, but the exact positions have been obtained manually for a subset of each modality, carrying out comparisons with different methodologies and with the algorithm proposed in our work. Therefore, in the dataset we can find the following folders and files:
IEEE: F. J. Rodriguez-Lozano, J. C. Gámez-Granados, H. Martínez, J. M. Palomares, and J. Olivares, “3D reconstruction system and multiobject local tracking algorithm designed for billiards,” Applied Intelligence, Jun. 2023, doi: 10.1007/s10489-023-04542-3.
APA: Rodriguez-Lozano, F. J., Gámez-Granados, J. C., Martínez, H., Palomares, J. M., & Olivares, J. (2023). 3D reconstruction system and multiobject local tracking algorithm designed for billiards. Applied Intelligence. https://doi.org/10.1007/s10489-023-04542-3
- AnimationsResults: subfolder with the 3D virtual generated worlds. It contains the animation files in “.x3d” format and rendered in video with format “.avi” with compression.
-
- TrackingResults: subfolder with the results of all the tested algorithms. It contains “_track.png” images with the trajectories retrieved by each algorithm, and rendered videos comparing each algorithm.