List of preliminary topics and sessions:

In general sessions will start with an introduction and survey of the sub-area, then after this the main part of the session is made up of technical talks on recent topics.

Recent work on geometry

Most of multi-view geometry and structure-from-motion algorithms has been formulated for perspective (pinhole) cameras. Other camera types are interesting for different applications, e.g. surveillance or navigation: omni directional catadioptric cameras (cameras looking at curved mirrors), fisheye cameras, and more exotic or specific devices such as pushbroom or x-slit cameras, etc. A basic unified imaging model for all these technologies consists in describing a camera by a lookup-table between its pixels and their lines of sight in 3D. In this session we address recent works on how such a general imaging model can be calibrated, how generic structure-from-motion methods can be devised and how multi-view geometry can be formulated for it. The session will close with a discussion of possibilities and issues concerning practical applications.

Variational, PDE-based methods in Vision

Recently a variety of computer vision and image analysis problems have been studied using variational methods and PDE's, especially surface reconstruction and segmentation. This allows separate study of the problem and possible solution methods (unlike when algorithms often were directly formulated for a specific task), and opens up the vast field of knowledge and methods for differential equations to computer vision applications. This session will cover both basic principles and their application to a variety of currently studied problems including edge and boundary extraction, segmentation, stereo, shape reconstruction algorithms and surface fitting with applications in general computer vision, medical image analysis and computer graphics. Solution methods will range from traditional to more recent level set methods. The session will also cover recent developments in variational methods and general PDE-methods. Morning: Tutorial and basic concepts. Afternoon: Selected recent works.

Machine Learning and Human Motion Tracking

As computer vision systems are developed for increasingly complex tasks and environments it becomes difficult to a-priori program all details. Methods from Machine Learning has been merged into Computer Vision on a variety of levels. Learning can be applied directly in vision algorithms to e.g. find patterns and their variation. On a mid level, a vision algorithm can be trained to particular applications by parameter learning, and finally learning can be used on a system level to guide during run time which submethods/procedures should be applied to particular data. In this session we study recent learning methods in conjunction with a variety of vision problems, such as segmentation, object recognition, tracking, hand-eye coordination, as well as integration of learning to guide execution in systems.

Applications, 3D models from 2D video, Virtual Heritage

Recently video processing and graphics rendering has become possible on standard consumer PC's. In collaboration with artists from the Banff New Media Institute participants will explore the creative use of capture, modeling and rendering. A laboratory setup will be provided with several computers and cameras for the capture of geometry and appearance using shape-from-silhouette and structure-and-motion methods. Captured 3D geometry and appearance models are integrated and processed in Maya, and can be rendered either into movie animations, or used interactively with our real time renderer.

As an appealing application we will focus on the capture of natural and cultural heritage into 3D digital models, so called Virtual Heritage. Vision is an appealing sensing modality. It is passive, avoiding damage to sensitive artifacts, and it scales well and can capture from small objects to whole landscapes. Recently, numerous practical heritage capture projects have been carried out. This session will expose and contrast experiences with different methods applied to real world capture and modeling problems.

Participants are also be invited to bring their own capture projects, which can be presented as talks, demos or posters.