Please use this identifier to cite or link to this item:
doi:10.22028/D291-26290
Title: | Adaptive structure tensors and their applications |
Author(s): | Brox, Thomas van den Boomgaard, Rein Lauze, Francois van de Weijer, Jost Weickert, Joachim Mrazek, Pavel Kornprobst, Pierre |
Language: | English |
Year of Publication: | 2005 |
DDC notations: | 510 Mathematics |
Publikation type: | Other |
Abstract: | The structure tensor, also known as second moment matrix or Förstner interest operator, is a very popular tool in image processing. Its purpose is the estimation of orientation and the local analysis of structure in general. It is based on the integration of data from a local neighborhood. Normally, this neighborhood is defined by a Gaussian window function and the structure tensor is computed by the weighted sum within this window. Some recently proposed methods, however, adapt the computation of the structure tensor to the image data. There are several ways how to do that. This article wants to give an overview of the different approaches, whereas the focus lies on the methods based on robust statistics and nonlinear diffusion. Furthermore, the dataadaptive structure tensors are evaluated in some applications. Here the main focus lies on optic flow estimation, but also texture analysis and corner detection are considered. |
Link to this record: | urn:nbn:de:bsz:291-scidok-45091 hdl:20.500.11880/26346 http://dx.doi.org/10.22028/D291-26290 |
Series name: | Preprint / Fachrichtung Mathematik, Universität des Saarlandes |
Series volume: | 141 |
Date of registration: | 24-Jan-2012 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Mathematik |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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preprint_141_05.pdf | 2,22 MB | Adobe PDF | View/Open |
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