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Conference Paper

Interactive Geometry-aware Segmentation for the Decomposition of Kaleidoscopic Images

MPS-Authors
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;

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0015-13A6-2
Abstract
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.