Klehm, OliverReshetouski, IlyaEisemann, ElmarSeidel, Hans-PeterIhrke, IvoMichael Goesele and Thorsten Grosch and Holger Theisel and Klaus Toennies and Bernhard Preim2013-11-082013-11-082012978-3-905673-95-1https://doi.org/10.2312/PE/VMV/VMV12/009-014Mirror 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.I.4.6 [Image Processing and Computer Vision]SegmentationRegion growingpartitioning