Alessio Del Bue Homepage

Brilliant news! Dr. Marco Paladini has won the Sullivan Prize for the BMVA best thesis in Machine Vision this year! The thesis is titled “Deformable and Articulated 3D Reconstruction from monocular video sequences” and among many cool stuff, the thesis features several parts of our work on NRSfM as in:

• M. Paladini, A. Del Bue, S. M. s, M. Dodig, J. Xavier, and L. Agapito, "Optimal Metric Projections for Deformable and Articulated Structure-From-Motion," International Journal of Computer Vision (IJCV), vol. 96, pp. 252-276, 2012.
  @Article{DelBue:Agapito:IJCV2011,
  author = {M. Paladini and A. {Del Bue} and M. Sto{\v{s}}ic and M. Dodig and J. Xavier and L. Agapito},
  title = {Optimal Metric Projections for Deformable and Articulated Structure-From-Motion},
  journal = {International Journal of Computer Vision (IJCV)},
  publisher = {Springer Netherlands},
  issn = {0920-5691},
  pages = {252-276},
  year = {2012},
  volume = {96},
  issue = {2},
  url = {http://dx.doi.org/10.1007/s11263-011-0468-5},
  Doi = {10.1007/s11263-011-0468-5}
}
  bibtex

• A. Del Bue, J. Xavier, L. Agapito, and M. Paladini, "Bilinear Modeling via Augmented Lagrange Multipliers (BALM)," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 34, iss. 8, pp. 1496-1508, 2012.
  @Article{DelBue:etal:PAMI2012,
  author = {A. {Del Bue} and J. Xavier and L. Agapito and M. Paladini},
  title={Bilinear Modeling via Augmented Lagrange Multipliers (BALM)},
  journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
  year={2012},
  month={August},
  volume={34},
  number={8},
  pages={1496 -1508},
  doi={10.1109/TPAMI.2011.238},
  ISSN={0162-8828},
  url = {http://users.isr.ist.utl.pt/~adb/publications/2012_PAMI_Del_Bue.pdf}
}
  bibtex

Marco Crocco, Alessio Del Bue, I. Barbosa, and Vittorio Murino, “A Closed Form Solution for the Self-Calibration of Heterogeneous Sensors“, BMVC 2012.

More news about the paper soon!

Great news! See you in Firenze

Enver Sangineto, Marco Cristani, Alessio Del Bue, and Vittorio Murino, “Learning Discriminative Spatial Relations for Detector Dictionaries: an Application to Pedestrian Detection“, ECCV 2012.

Gustavo Carneiro, Nuno M. Pinho da Silva, Alessio Del Bue, and Joao Paulo Costeira, “Artistic image classification: an analysis on the PRINTART database “, ECCV 2012.

We are organising the VISART “Where Computer Vision Meets Art” workshop at ECCV 2012 this year together with Gustavo, Nuno and Joao Paulo. The aim of the workshop is to bridge the gap between art and image analysis research fields…and Florence seems the best place where to do this!

We have a cool website HERE and a call for papers:

*****************************************
VISART “Where Computer Vision Meets Art”
*****************************************
1st Workshop on Computer VISion for ART Analysis
(http://printart.isr.ist.utl.pt/visart/)
In conjunction with ECCV 2012

*****************************************
IMPORTANT DATES
Submission: July 1, 2012
Notification of acceptance: July 25, 2012
Workshop: 12th October 2012 (one-day)
*****************************************

CALL FOR PAPERS

Art analysis is a fertile field of application for Computer Vision techniques. It is an interdisciplinary research in nature, which benefits the computer vision community with new tools and new problems, and the art history community with automatic tools for assisting in the art analysis.

The purpose of this workshop is to bring together leading researches in the fields of computer vision, machine learning, and multimedia information retrieval, with a special emphasis on art and cultural heritage applications. The ultimate goal of this workshop is to promote interdisciplinary collaborations and expose the audience to the problems and results in art analysis using the state-of-the-art techniques developed in the aforementioned fields.

This one day workshop, held in conjunction with ECCV 2012, calls for high-quality, previously unpublished, works related to Computer Vision and related areas, which focus on art objects and art analysis. Submissions should conform to the ECCV 2012 proceedings style, and have a maximum of 10 pages. Papers must be submitted online through the ECCV 2012 CMT submission system and double-blind peer-reviewed by at least two reviewers.

TOPICS

A preliminary list of topics includes, but is not limited to:

Content-based Image Retrieval
3D reconstruction and image metrology from paintings
Large scale 3D reconstruction of Historical sites
Human pose estimation in art
Object detection and localization
Authentication and Forensics
Image representation in art
Multimedia applications to artistic images
Visualisation and Interaction
Computer Vision and Cultural Heritage
Application of learning methods to art analysis

INVITED SPEAKERS

Computer Vision and Art Analysis
David Stork, Rambus Lab

Art History and Iconography
Hans Brandhorst, Iconclass/Arkyves

PROGRAM COMMITTEE

Prof. David Suter, Adelaide University
Prof. Mario Figueiredo, Instituto de Telecomunicações (IST)
Prof. Rita Cucchiara, University of Modena and Reggio Emilia
Prof. Nuno Vasconcelos, UC San Diego
Dr. Chunhua Shen, Adelaide University
Dr. Matteo Dellepiane, ISTI-CNR Pisa
Prof. Lior Wolf, Tel Aviv University
Dr. David Stork, Rambus Lab
Prof. José Bioucas, Instituto de Telecomunicações (IST)
Prof. Silvio Savarese, University of Michigan
Prof. David Lowe, University of British Columbia
Prof. Anton van den Hengel, Australian Centre for Visual Technologies
Dr. Tat-Jun Chin, Adelaide University
Dr. Qifeng (Javen) Shi, Australian Centre for Visual Technologies,
Prof. Jiri Matas, Czech Technical University
Prof. Björn Ommer, University of Heidelberg
Prof. Alexandre Bernardino, Instituto Superior Tecnico
Dr. Fernando De la Torre, CMU

ORGANIZERS:
Nuno Pinho da Silva, ISR, Instituto Superior Técnico, Portugal
Joao Paulo Costeira, ISR, Instituto Superior Técnico, Portugal
Gustavo Carneiro, University of Adelaide, Australia
Alessio Del Bue, Istituto Italiano di Tecnologia (IIT), Italy

Please check VISART website for additional information about the
workshop at: http://printart.isr.ist.utl.pt/visart/

The research on sensor networks attracts nowadays a lot of interests because it offers interesting problems which impact on real applications in the field. In particular, the figure on top shows an example of such problems that has still many open issues. The figure show a network of sensors and events/targets. In this case our sensors are a set of microphones that “hear” a set of sound events coming from a loudspeaker. By measuring the time of arrival of the sound event we can calculate the distance between microphones and the event. The self-calibration problem tries to find the 3D position of mics/events only from these distances. Here we propose a closed form solution to the problem:

• M. Crocco, A. Del Bue, and V. Murino, "A Bilinear Approach to the Position Self-Calibration of Multiple Sensors," IEEE Transactions on Signal Processing, vol. 60, pp. 660-673, 2012.
  @Article{Crocco:etal:TSP2012,
  author = {M. Crocco and A. {Del Bue} and V. Murino},
  title = {A Bilinear Approach to the Position Self-Calibration of Multiple Sensors},
  journal = {IEEE Transactions on Signal Processing},
  year = {2012},
  volume = {60},
  issue = {2},
  pages={660--673},
  url = {http://ieeexplore.ieee.org/iel5/78/4359509/06072307.pdf?arnumber=6072307}
}
  bibtex

• 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}
}
  bibtex

The new year brings some changes…we are now PAVIS – Pattern Analysis and Computer Vision at IIT.

The work in collaboration with the Nanophysics facility at IIT has the cover on the December issue of Nature Methods!

• F. Cella Zanacchi, Z. Lavagnino, M. Perrone, A. Del Bue, L. Furia, M. Faretta, and A. Diaspro, "Live-cell 3D super-resolution imaging in thick biological samples," Nature Methods, pp. 1047-1049, 2011.
  @Article{Cella:etal:NM2011,
  author = {F. {Cella Zanacchi} and Z. Lavagnino and M. {Perrone} and A. {Del Bue} and L. Furia and M. Faretta and A. Diaspro},
  title = {{Live-cell 3D super-resolution imaging in thick biological samples}},
  journal = {Nature Methods},
  pages = {1047-1049},
  year = {2011},
  month = {December},
  url = {http://www.nature.com/nmeth/journal/v8/n12/full/nmeth.1744.html},
  Doi = {10.1038/nmeth.1744}
}
  bibtex

ICCV 2011 Tutorial on Non-Rigid Registration and Reconstruction Sunday, 6 November 2011, 13th International Conference on Computer Vision (ICCV 2011), Barcelona, Spain

Online Slides

Tutorial opening and introduction Deformable Image Registration Template-Based Deformable Shape Inference Non-rigid Structure from Motion (NRSfM): Low-rank methods NRSfM: Trajectory space and Piecewise methods

You can check the tutorial page for more information and links to the previous tutorial editions.

My colleagues in Lisbon have organised the second edition of the workshops of the PrintART project. Please check this link for the full program and for a description of the workshop theme. In the following you can find an excerpt from the workshop introduction:

The tile paintings is rightly characterized as one of the art forms that more easily identifies the Portuguese artistic heritage. It has enjoyed a growing attention in recent years and the number of links between the analysis of the tiles work and traditionally unrelated knowledge domains has been increasing. For example, the Robotics and, particularly, Computer Vision, is one of these domains and the PrintART Project, underway since 2010, can represent a milestone in this relationship between different fields of knowledge.

[...]

The main objective of the PrintART project is to provide a tool for retrieving the prints that inspired a given painting on a panel of tiles. This tool compares prints and images of tiles to find matching shapes and compositions. The question that the project seeks to answer is: by introducing an image of a panel of tiles in a vast database of images of prints, will it be able to identify one or more prints similar to that panel?

For the art history researcher, to look for prints that inspired the artists to paint a particular composition is still a job that requires thorough study and enormous capacity to exploit the researcher’s visual memory. Although the human eye is still infinitely more effective that any software tool, new technologies, and massive digitization of books and images, present great opportunities to the community.

[...]

The use of statistical techniques for pattern recognition has enormous potential to perform automatic analysis of databases of art images, thus reducing the time normally spent by the observer who does not use any software tool. The technology developed in this project shows promising results and the use of these new techniques can open new perspectives to art history.

The exciting aspect of the Istituto Italiano di Tecnologia (IIT) is the possibility to work on several aspects of science. This year was indeed very intense, until now I did not quite realise on which extent Computer Vision was applied in the projects we have in our group. While I was trying to put some order in the scientific activities there was something quite surprising. The visual shapes we were dealing with spanned from the smallest biological molecules to astral bodies in space — almost reaching a total of 14 orders of magnitude in size. Here there is a summary from the smallest to the biggest:

• 3D localisation of fluorescent particles for Nanoscopy – 10-8: Localising the tiniest molecules in thick biological samples is a challenge in modern Microscopy. In this project we helped the IIT Nanophysics group to raise the state of the art in terms of accuracy in 3D localisation. More details on the new Nature methods paper here. F. Cella Zanacchi, Z. Lavagnino, M. Perrone, A. Del Bue, L. Furia, M. Faretta, and A. Diaspro, "Live-cell 3D super-resolution imaging in thick biological samples," Nature Methods, pp. 1047-1049, 2011. @Article{Cella:etal:NM2011,   author = {F. {Cella Zanacchi} and Z. Lavagnino and M. {Perrone} and A. {Del Bue} and L. Furia and M. Faretta and A. Diaspro},   title = {{Live-cell 3D super-resolution imaging in thick biological samples}},   journal = {Nature Methods},   pages = {1047-1049},   year = {2011},   month = {December},   url = {http://www.nature.com/nmeth/journal/v8/n12/full/nmeth.1744.html},   Doi = {10.1038/nmeth.1744} } bibtex

• Analysis of the morphology of neuronal networks – 10-5: This ongoing work is based on the in vitro analysis of the morphology of neuronal networks using images from a high-density microelectrode array (MEA). The aim is to extract the positions and links among different cluster of neurons. This information will be coupled together with electro-physiological signals in order to understand the functionality of the network. In collaboration with Alessandro Maccione and Luca Berdondini from the Neuroscience and Brain Technology (NBT) department @ IIT.

• Automatic microphones localisation – 10-2: The set of microphones and the audio arrays in the Cerberus lab need a precise 3D localisation in order to work. Recently we have found a new set of computational tools able to localise the microphone position solely from sound events. The overall accuracy of the system is less then half a centimeter. More news soon!

• 3D deformable modelling – 100: With Multiview 3D warps – M3DW we presented together with A. Bartoli a framework that can model dense deformations of an image from an image sequence. The ideal applications are surface retexturing and deformation cloning. A. Del Bue and A. Bartoli, "Multiview 3D Warps," in 13th Internationl Conference on Computer Vision (ICCV 2011), Barcelona, Spain, 2011. @inproceedings{DelBue:Bartoli:2011,   author = {A. {Del Bue} and A. Bartoli},   title = {Multiview 3D Warps},   booktitle = {13th Internationl Conference on Computer Vision (ICCV 2011), Barcelona, Spain},   year = {2011},   month = {November},   url = {http://users.isr.ist.utl.pt/~adb/publications/2011_DelBue_Bartoli_ICCV11.pdf} } bibtex

• Large-scale 3D reconstruction – 103: We have recently extended the BALM algorithm to deal with large-scale reconstruction of a size such as Piazza San Marco in Venice. A new update of the code and the data will be published soon. 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} } bibtex

• Asteroid 3D reconstruction – 105: We have created in collaboration with the University of Trento a new pipeline for the 3D reconstruction of Asteroids using close approach images. The Lutetia asteroid size is of 100 Km at the diameter!