liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
A Probabilistic Definition of Intrinsic Dimensionality for Images
Linköping University, Department of Electrical Engineering, Computer Vision . Linköping University, The Institute of Technology.
2003 (English)In: 25. DAGM Symposium Mustererkennung, Magdeburg eds Michaelis, B. and Krell, G., 2003, Vol. 2781, 140-147 p.Conference paper (Refereed)
Abstract [en]

In this paper we address the problem of appropriately representing the intrinsic dimensionality of image neighborhoods. This dimensionality describes the degrees of freedom of a local image patch and it gives rise to some of the most often applied corner and edge detectors. It is common to categorize the intrinsic dimensionality (iD) to three distinct cases: i0D, i1D, and i2D. Real images however contain combinations of all three dimensionalities which has to be taken into account by a continuous representation. Based on considerations of the structure tensor, we derive a cone-shaped iD-space which leads to a probabilistic point of view to the estimation of intrinsic dimensionality.

Place, publisher, year, edition, pages
2003. Vol. 2781, 140-147 p.
, Lecture Notes in Computer Science, 2781
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-21681OAI: diva2:246047
Available from: 2009-10-08 Created: 2009-10-05 Last updated: 2009-10-08

Open Access in DiVA

No full text

Other links

Link to Article

Search in DiVA

By author/editor
Felsberg, Michael
By organisation
Computer Vision The Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 83 hits
ReferencesLink to record
Permanent link

Direct link