Tutorial on Computer Vision in a Non-Rigid World at ICCV'11
Tutorial on Computer Vision in a Non-Rigid World
ICCV'11, Barcelona, Spain, november 6, 2011 -- full-day
This full-day tutorial is the fourth edition in a series of tutorials on the theme of deformable 3D reconstruction in computer vision. The recent approaches to Non-Rigid Structure-from-Motion and template-based reconstruction form a basis for the contents that also address the key problem of deformable image registration.
The tutorial deals with image registration and the 3D reconstruction of deformable shapes using motion as the main visual cue. The aim is to review and discuss a set of general techniques that can be customized given a specific setup. The emphasis will be on the use of physical and statistical shape priors in different imaging scenarios. The tutorial consists of two main parts: image registration and 3D reconstruction from registered images. In the former, we will show how correspondences can be established between images of a deformable shape. In the latter, we will show how these correspondences can be used as inputs to Non-Rigid Structure-from-Motion (NR-SfM) algorithms. The tutorial uses a consistent framework for image registration and 3D reconstruction, which are shown to be two intimately related problems.
Please see the tutorial webpage.
Lourdes Agapito Queen Mary University of London
Dr Agapito is a Senior Lecturer at the School of Electronic Engineering and Computer Science of Queen Mary, University of London where she leads a research group of seven PhD and Postdoctoral researchers. Previously, she had been an EU Marie Curie Postdoctoral fellow at the Robotics Research Group of the University of Oxford. Since 2004 her research has focused in the area of 3D reconstruction of non-rigid structure from image sequences. In 2008 she was awarded a prestigious ERC Starting Independent Researcher Grant to work on the recovery of detailed 3D models of deformable and articulated objects purely from image sequences focusing on the exciting scenario of human motion analysis.
Adrien Bartoli Université d'Auvergne, Clermont-Ferrand
Prof. Bartoli runs the ALCOV (Advanced Laparoscopy and Computer Vision) research team at ISIT with Prof. Canis since november 2009. Previously, he was a permanent CNRS research scientist at LASMEA since October 2004 and a visiting professor at DIKU Copenhagen in 2006-2009. He obtained an Habilitation Degree in 2008. He was a postdoctoral fellow at the University of Oxford in 2004. He did his PhD at INRIA and received the 2004 Grenoble INP PhD thesis prize. He received the best paper award at CORESA’07 and the 2008 CNRS Bronze Medal. He led the ComSee research team (with Dr Chateau) between 2006 and 2009.
Alessio Del Bue Istituto Italiano di Tecnologia, Genoa
Dr Del Bue is a Senior Post-doc researcher at the facility of Computer Imaging of the Italian Institute of Technology (IIT). Previously, he was a researcher in the Institute for Systems and Robotics at the Instituto Superior Tecnico (IST) in Lisbon, Portugal. He obtained his Ph.D. under the supervision of Dr. Agapito in the Department of Computer Science at Queen Mary University of London.