Deep Structure, Singularities, And Computer Vision : First International Workshop, Dsscv 2005, Maastricht, the Netherlands, June 9-10, 2005 Revised Selected Papers

International Workshop on Deep Structure; Olsen, Ole Fogh; Florack, Luc; Kuijper, Arjan

ISBN 10: 3540298363 / ISBN 13: 9783540298366

Published by Springer, 2005

About this Item

Unread book in perfect condition.

Seller Inventory # 4118373

Bibliographic Details

• Title: Deep Structure, Singularities, And Computer Vision : First International Workshop, Dsscv 2005, Maastricht, the Netherlands, June 9-10, 2005 Revised Selected Papers
• Publisher: Springer
• Publication Date: 2005
• Language: English
• ISBN 10: 3540298363
• ISBN 13: 9783540298366
• Binding: Soft cover
• Condition: As New

About this title

Synopsis

Whatisactuallytheinformationdirectlyrepresentedinthescale-space?Istarted to wonder about this shortly after Peter Johansen, 15 years ago, showed me his intriguing paper on how uniquely to reconstruct a band-limited 1D signal from its scale-space toppoints. Still, I have not fully understood its implications. Merely recording where structure vanishes under blurring is su?cient to fully reconstruct the details. Of course, technicalities exist, for example, you must also know negative scale toppoints. Nevertheless, I ?nd it surprising that we may trade the metric properties of a signal with the positions of its inherent structure. The result has been generalizedto analytic signals, shown also for the zero crossings of the Laplacean, but has not yet been generalized to 2D. This remains an open problem. In 2003, Peter Giblin, Liverpool University, Luc Florack, Eindhoven Univ- sity of Technology, Jon Sporring, University of Copenhagen, my colleague Ole Fogh Olsen, and several others started the project collaborationDeep Structure and Singularities in Computer Vision under the European Union, IST, Future and Emerging Technologies program, trying to obtain further knowledge about what informationis actuallycarriedby the singularitiesof shapesand gray-scale images. In this project, we probed from several directions the question of how much of the metric information is actually encoded in the structure of shapes and images. We, and many others, have given hints in this direction.