Call for Papers 

Computer Vision and Image Understanding Special Issue on 
3D Representation for Object and Scene Recognition 

Object and scene categorization has been a central topic of computer 
vision research in recent years. The problem is a highly challenging one. 
A single object or scene may show tremendous variability in appearance and 
structure under various photometric and geometric conditions. In addition, 
members of the same class may differ from each other due to various 
degrees of intra-class variability. Recently, researchers have proposed 
new powerful models as well as sophisticated mathematical tools for 
handling categorization of objects and scenes. However, much work still 
needs to be done towards the goal of: i) finding a suitable representation 
that can efficiently capture the three-dimensional nature of objects and 
scenes; ii) taking advantage of this representation to help the 
recognition task. We are soliciting original contributions which can 
provide both theoretical and experimental insight on this fundamental 
problem. Specific questions we would like to address include, but are not 
limited, to:

. Representation:
.. What is a suitable representation for recognizing 3D object categories? 

. Reconstruction and Recognition:
.. Can recognition and reconstruction be run simultaneously to enhance 
each other?
.. How much does 3D information help? How detailed does the 3D 
representation need to be in order to achieve satisfactory recognition?

. Spatial constraints and contextual recognition:
.. How can we use/explore different degrees of 3D spatial constraints  for 
recognition?
.. Can we expand known 2D spatial models to 3D?
.. How can 3D spatial constraints be used for joint recognition of scenes 
and the objects within?

. Human vision:
.. What can we learn from what we know about our own visual system? How do we represent a 3D object or environment in our brain? Can this inspire computational work? 

Guest Editors 
. Silvio Savarese, University of Illinois at Urbana-Champaign 
. Tinne Tuytelaars, K.U. Leuven 
. Fei-Fei Li, Princeton University 
. Luc Van Gool, ETH Zurich and K.U. Leuven 

Important dates: 
. Paper submission deadline May 22, 2008 
. Response to authors August 1, 2008 
. Re-submission for revisions September 1, 2008 
. Response to authors October 27, 2008 
. Camera-ready copies due to November 15, 2008

For further inquires please visit:
http://vangogh.ai.uiuc.edu/cviu/home.html