Next week the 2nd PLUS school will take place at the Italian Institute of Technology (IIT). The school will cover the object recognition and scene understanding themes. For 4 days Fei-Fei Li and Silvio Savarese will present the recent advancements in this exciting field of Computer Vision. More details at the school web page.
I am co-organising the Fourth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA’11) to be held in conjuction with CVPR 2011 conference. Here you can find the call for papers:
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Fourth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA’11) 24 June 2011, Colorado Springs, USA Chairs: Nonrigid and deformable shapes are ubiquitous in the world surrounding us, on all levels from micro to macro. The need to study such shapes and model their behavior arises in a wide spectrum of applications, ranging from medical imaging and augmented reality to design engineering and homeland security. In recent years, problems of nonrigid shape analysis and deformable image alignment have attracted a growing interest in computer vision and pattern recognition communities, which has led to rapid development of the field, where state-of-the-art results from very different sciences – theoretical and numerical geometry, optimization, linear algebra, graph theory, machine learning and computer graphics, to mention a few are applied to find solutions. NORDIA 2011 comes following the success of the previous issues of the workshop in 2008, 2009 and 2010. The purpose is to bring together leading researchers dealing with different aspects of nonrigid shape analysis and deformable image alignment in order to promote new interdisciplinary collaborations and expose each side to the most recent results and problems in each field. The purpose is to identify new problems as well as potential solutions. The unique value of the workshop is bringing together people from communities traditionally considered to be working in different areas and rarely meeting in the same conferences. Topics Paper submission: 5 March |
The second set of sensor is now ready in the PLUS lab. We have a number of sensors to detect the depth based on TOF (Swissranger SR4000), Stereo (TXYZ) and a brand new Panasonic D-IMager. Ah, almost forgetting, a Kinect as well. Depth sensing is not the only invisible pattern we are interested in. We have equipped the lab with a brand new A315 thermocamera from Flir.
We are building a multi-sensors room called Cerberus in the PLUS lab at the underground level in IIT with the aim to test different sensor modalities. These sensors are grouped in three different modalities (heads):
The first head has just been born. We have equipped our lab space with 5 Basler high resolution color cameras. The stream of the 5 cameras is syncrhonised up to frame precision in order to perform accurate (human) motion analysis. This system will be soon joined by the two other heads. We are currently working on a set of audio arrays and thermal/depth sensing devices. More news soon!
A two day tutorial (6-7 December) on “Deformable Image Registration and
Non-Rigid 3D Reconstruction from Images” will be organised by Lourdes
Agapito, Adrien Bartoli, Alessio Del Bue and hosted by the PLUS lab at
the Italian Institute of Technolgy, Genova, Italy.
ABSTRACT:
The tutorial presents modern computer vision techniques to deal with the
registration and 3D reconstruction of deformable shapes using images.
The aim of this 2-day course is to present a principled procedure for
dealing with images where each object can arbitrarily change its shape
– a common occurrence in human motion analysis, medical imaging and
video-surveillance scenarios. The tutorial will discuss a set of
techniques general in their formulation but that can be customized given
the specific imaging problem of the user. In particular, an emphasis is
put over the use of physical or statistical priors which can aid the
solution of such an ill-posed problem. Real examples on the human motion
analysis and medical imaging domains will show the effectiveness of the
approaches in dealing with different deforming shapes.
SYLLABUS:
Non-rigid image registration:
– image deformation models
– feature-based registration
– pixel-based (direct) registration
Non-rigid 3D reconstruction:
– template-based 3D reconstruction
– Non-Rigid Structure-from-Motion
VENUE and DATES:
This 2 day tutorial (6-7 December) will take place in the Italian
Institute of Technology (www.iit.it), Genova, Italy. The tutorial is
free of charge but please send an email to alessio.delbue@iit.it to
confirm your attendance to the tutorial or to ask for further
information. Please check: www.isr.ist.utl.pt/~adb/tutorial/ for further
details and updates on the tutorial schedule.
You can find in the code page a MATLAB implementation of the BALM algorithm presented this year at ECCV 2010. The code is useful to optimise cost functions in bilinear form and it is customised to deal with arbitrary manifold constraints and missing data. In particular, in this release we provide a solution for the Non-rigid Structure from Motion (NRSFM) and Photometric Stereo problems along with their manifold projectors. Please refer to this page for a more detailed description of the BALM algorithm.
@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}
}
There is more material and a new web page for the Adaptive 3D reconstruction and registration papers. The ECCV 2010 presentation can be found here (PDF – 1.85MB) along with the paper “Adaptive Metric Registration of 3D Models to Non-rigid Image Trajectories” (PDF – 590KB).
@inproceedings{DelBue:2010,
author = {A. {Del Bue}},
title = {Adaptive Metric Registration of 3D Models to Non-rigid Image Trajectories},
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 = {6313},
year = {2010},
isbn = {978-3-642-15557-4},
pages = {87--100}
}
At ECCV 2010 I will present a work on registering rigid shapes to non-rigid image trajectories. The algorithm simultaneously solves for the transformation parameters (a rotation plus an image projection) and find an adapted 3D shape to the image trajectories. In this video you can see some results of the algorithm:
If you need more details, there is a page in my research space dedicated to this class of approaches.
@inproceedings{DelBue:2010,
author = {A. {Del Bue}},
title = {Adaptive Metric Registration of 3D Models to Non-rigid Image Trajectories},
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 = {6313},
year = {2010},
isbn = {978-3-642-15557-4},
pages = {87--100}
}