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

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Interactive Geometry-aware Segmentation for the Decomposition of Kaleidoscopic Images

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44791

Klehm,  Oliver
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45284

Reshetouski,  Ilya
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44670

Ihrke,  Ivo
Computer Graphics, 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

Klehm, O., Reshetouski, I., Eisemanm, E., Seidel, H.-P., & Ihrke, I. (2012). Interactive Geometry-aware Segmentation for the Decomposition of Kaleidoscopic Images. In M. Gösele, T. Grosch, B. Preim, H. Theisel, & K.-D. Tönnies (Eds.), VMV 2012 Vision, Modeling and Visualization (pp. 9-14). Goslar: Eurographics Association. doi:10.2312/PE/VMV/VMV12/009-014.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0015-13A6-2
Zusammenfassung
Mirror systems have recently emerged as an alternative low-cost multi-view imaging solution. The use of these systems critically depends on the ability to compute the background of a multiply mirrored object. The images taken in such systems show a fractured, patterned view, making edge-guided segmentation difficult. Further, global illumination and light attenuation due to the mirrors make standard segmentation techniques fail. We therefore propose a system that allows a user to do the segmentation manually. We provide convenient tools that enable an interactive segmentation of kaleidoscopic images containing three-dimensional objects. Hereby, we explore suitable interaction and visualization schemes to guide the user. To achieve interactivity, we employ the GPU in all stages of the application, such as 2D/3D rendering as well as segmentation.