Mathematics and imaging has had a long and fruitful relationship starting with the desire to understand projection in renaissance painting and art. This trend continued with the development of non-Euclidean geometries in the past centuries, and recently, in the past decades, expanded significantly with the introduction of new 3D digital imaging systems in many scientific fields. This need arise from the desire to employ machine vision to various applications ranging from robotics to medical imaging. Computer Vision started as a subfield of AI, but has these days branched out into using a wide field of mathematical methods. The fundamental study of computer vision in a framework of projective geometry has produced new methods and algorithms for uncalibrated cameras in the past decade. It has recently expanded into other camera models and the study of critical configurations. Another active topic is employing variational methods and PDE's for computing surfaces. This workshop seeks to span the range from methods that are now practical enough to be seeking their way into applications, to current hot research topics. Finally, in a lab session organized jointly with the Banff New Media Institute we will go full circle from theory to practice an explore the use of modern computer vision in making creative models and animations.

The Pacific Institute for Mathematical Sciences (PIMS) hosts workshops in the Oberwolfach/Luminy style in it's Banff International Research Station (BIRS). Meetings are funded through NSERC and NSF, and participants receive free accommodation and meals, but are responsible for their own travel expenses. BIRS is situated in Banff national park, Alberta, a UN world heritage site in the Canadian Rocky Mountains.

We hope the workshop will be an interesting and rewarding experience for all participants.

The organizers:
Martin Jagersand   University of Alberta, Canada.   Contact organizer:
Dana Cobzas University of Alberta  
Anders Heyden Malmo University, Sweden  
Peter Sturm MOVI, INRIA, France  
Bill Triggs LEAR, INRIA, France  
Jim Little University of British Columbia, Canada  
Steve Zucker Yale University, USA