Sunday, November 6
| Title |
T01 - Looking at people: The past, the present and the future |
| Speakers |
Leonid Sigal, Thomas Moeslund, Adrian Hilton, Volker Kruger |
| Description |
Over the course of the last 10-20 years the field of computer vision has been preoccupied with the problem of looking at people. Hundreds, if not thousands, of papers have been published on the subject that span face detection, pose estimation, tracking, activity recognition, etc. This tutorial is designed to give an introduction to and assessment of state-of-the-art in this very active field. The tutorial builds on the book: "Visual Analysis of Humans: Looking at People" that will be published by Springer in time for ICCV 2011.
The book is intended to serve the dual purpose of being a reference and a tutorial to the people entering the field. Because thus tutorial is an extension of this idea, it will similarly consists of a series of talks by experts in the corresponding fields. The tutorial will be broken down into 4 parts: (1) detection and tracking, (2) articulated pose estimation and tracking, (3) activity recognition, and (4) applications. In each part we will have 3 invited lecturers. The lectures will be geared towards general CV audience and will outline the key advances and future challenges in the problems involved. |
| URL |
www.cs.brown.edu/~ls/iccv2011tutorial.html |
| Title |
T02 - 3D point cloud processing: PCL (Point Cloud Library) |
| Speakers |
Radu Rusu, Stefan Holzer, Michael Dixon, Vincent Rabaud |
| Description |
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| Title |
T03 - Fcam: an architecture and API for computational cameras |
| Speakers |
Kari Pulli, Andrew Adams, Timo Ahonen, Marius Tico |
| Description |
Computational photography has become increasingly popular in recent years, but APIs for controlling cameras have not kept up with the demands of computational photography applications. This issue was addressed by the "Frankencamera'' architecture and its corresponding "FCam'' API, both of which were presented at SIGGRAPH 2010. Since then, researchers, educators, and enthusiasts have begun using FCam to implement their own novel camera applications or teach others to do so. This course will aim to encourage this by going into detail on the rationale behind FCam and how to use it.
The course will demonstrate FCam's use by building from simple examples, working up to a point-and-shoot camera application, and then going beyond that with a sequence of computational photography applications all built using FCam. Thus the course will not only teach FCam, but will also serve as a primer in the basic algorithms in photography and computational photography. The main focus will be on using FCam to develop your own camera applications, but we will also discuss how educators can use FCam in their computational photography courses. |
| URL |
fcam.garage.maemo.org/iccv2011.html |
| Title |
T04 - Variational methods for computer vision |
| Speakers |
Daniel Cremers, Bastian Goldlucke, Thomas Pock |
| Description |
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| Title |
T05 - Non-rigid registration and reconstruction |
| Speakers |
Alessio Del Bue, Lourdes Agapito, Adrien Bartoli |
| Description |
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. |
| URL |
www.isr.ist.utl.pt/~adb/tutorial/ |
| Title |
T06 - Learning with inference for discrete graphical models |
| Speakers |
Nikos Komodakis, Pawan Kumar, Nikos Paragios, Ramin Zabih |
| Description |
Several problems in computer vision, pattern recognition, medical imaging and signal processing can be formulated using the discrete graphical models framework. The two main issues faced by researchers when using graphical models are: (i) Learning: How to estimate the parameters of the model?; and (ii) Inference: How to find the best assignment for the variables of the model? In this tutorial we will discuss these two issues, starting from the basics and building up to the state of the art. |
| URL |
www.csd.uoc.gr/~komod/ICCV2011_tutorial/ |
| Title |
T07 - Computer vision fundamentals: robust non-linear least-squares and their applications |
| Speakers |
Pascal Fua, Vincent Lepetit |
| Description |
Least-Squares fitting is one of the fundamental tools of Computer Vision but relatively few young researchers understand their inner workings or are familiar with sophisticated implementations that address the weaknesses of naive ones. This tutorial aims at filling this gap and should therefore benefit young—and maybe not so young--researchers in the field. |
| URL |
cvlab.epfl.ch/~fua/courses/lsq/ |
| Title |
T08 - Geometry constrained parts based detection |
| Speakers |
Simon Lucey, Jason Saragih |
| Description |
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| Title |
T10 - Color image understanding: from acquisition to high-level image understanding |
| Speakers |
Theo Gevers, Keigo Hirakawa, Joost van de Weijer |
| Description |
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