Sensors (microphones) calibration dataset
You can download Mic Dataset (.zip) with ground truth for the microphones self-calibration experiment as presented in:
-
M. Crocco, A. Del Bue, M. Bustreo, and V. Murino, "A Closed Form Solution to the Microphone Position Self-Calibration Problem," in 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, 2012.
@inproceedings{Crocco:etal:2012,
author = {M. Crocco and A. {Del Bue} and M. Bustreo and V. Murino},
title = {A Closed Form Solution to the Microphone Position Self-Calibration Problem},
booktitle = {37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan},
year = {2012},
month = {March}
}
The data contains the time of arrival of the sound events, the final calibration results and the ground truth obtained using a VICON motion capture system. For details please check the description in the .zip file and cite the paper if you use the dataset for your experiments.
MATLAB code for the BALM
You can download the code at this link:
BALM Source code 0.1
The zip package contains the code for the algorithm presented in:
-
A. Del Bue, J. Xavier, L. Agapito, and M. Paladini, "Bilinear Factorization via Augmented Lagrange Multipliers," in 11th European Conference on Computer Vision (ECCV 2010), Crete, Greece, 2010, pp. 283-296.
@inproceedings{DelBue:etal:2010,
author = {A. {Del Bue} and J. Xavier and L. Agapito and M. Paladini},
title = {Bilinear Factorization via Augmented Lagrange Multipliers},
editor = {Kostas Daniilidis and Petros Maragos and Nikos Paragios},
booktitle = {11th European Conference on Computer Vision (ECCV 2010), Crete, Greece},
publisher = {Springer},
location = {Heidelberg},
series = {Lecture Notes in Computer Science},
volume = {6314},
year = {2010},
isbn = {978-3-642-15560-4},
pages = {283--296}
}
All publications and works that use this code must reference this paper. Please check the README.m paper for instructions and demos. For more details about the BALM you can check this page.
MATLAB code for Non-rigid Structure from Motion
Please follow the download instruction at:
http://www.dcs.qmul.ac.uk/~lourdes/code
All publications and works that use this toolbox must reference our CVPR 2009 paper:
-
M. Paladini, A. Del Bue, S. M. s, M. Dodig, J. Xavier, and L. Agapito, "Factorization for Non-Rigid and Articulated Structure using Metric Projections," in Proc. IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, 2009, pp. 2898-2905.
@conference{paladini:etal:2009, title={{Factorization for Non-Rigid and Articulated Structure using Metric Projections}},
author={M. Paladini and A. {Del Bue} and M. Sto{\v{s}}ic and M. Dodig and J. Xavier and L. Agapito},
year={2009},
pages={2898--2905},
booktitle={Proc. IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida}
}
MATLAB code for Non-rigid Image Registration
You can download the code at this link:
2D-3D non-rigid registration code
The zip package contains the code for the algorithm presented in:
-
A. Del Bue, M. Stosic, M. Dodig, and J. Xavier, "2D-3D Registration Of Deformable Shapes With Manifold Projection," in International Conference on Image Processing (ICIP 2009), Cairo, Egypt, 2009.
@conference{DelBue:2009, title={2D-3D Registration Of Deformable Shapes With Manifold Projection},
author={A. {Del Bue} and M. Stosic and M. Dodig and J. Xavier},
booktitle = "International Conference on Image Processing (ICIP 2009), Cairo, Egypt", year={2009}
}
All publications and works that use this code must reference this paper.
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