de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Hochschulschrift

Local Constancy Assumption Selection for Variational Optical Flow

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44510

Goncharov,  Ilya
International Max Planck Research School, MPI for Informatics, Max Planck Society;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Goncharov, I. (2012). Local Constancy Assumption Selection for Variational Optical Flow. Master Thesis, Universität des Saarlandes, Saarbrücken.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0026-D083-E
Zusammenfassung
Variational methods are among the most successful approaches for computing high-quality optical ow. However, there are still many ways to improve. In this thesis we fist provide a general overview of the main ideas of existing approaches by the example of the complementary optical ow method of Zimmer et al. [19]. This serves us as a starting point for introducing the concept of automatic local selection of the most suitable constancy assumption on image features, which allows to further improve the quality of optical ow estimation. As a main contribution, we provide the variational formulation, that directly leads to the proposed behavior. The derived model is then analysed and evaluated in the series of experiments.