Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images
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.
MATLAB Color Calibration ToolboxThe toolbox can be used to compute color compensation matrices from images of a color checker (Gretag-Macbeth 24 patches, Colorchecker DC 240 patches, or ColorcheckerSG 140 patches). Since version 2.0 the software can also estimate radiometric camera response curves from an exposure stack of a color checker.
Author: Ivo Ihrke
PFS CalibrationIvo Ihrke is currently the maintainer of the PFS calibration package.
Demo and Datasets for "Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images"
Code and Datasets for "A Theory of Plenoptic Multiplexing"
Implementation for "Eikonal Rendering"
Multi-View Data SetsA multi-view data set of fire from our SCA 2004 paper and a synthetic multi-view data set (kungfu-girl)
Focal Stack PhotographyFocal Stack Photography has been a project of the lecture "Computational Photography 2010".
There are some data sets available on the project page containing up to 500 shots.
Some of the data sets are also available in 20 mega pixel resolution and raw format.
Feel free to ask for it.