Generalized Image Acquisition and Analysis
Fluorescent Immersion Range Scanning
The quality of a 3D range scan should not depend on the surface
properties of the object. Most active range scanning techniques,
however, assume a diffuse reflector to allow for a robust detection
of incident light patterns. In our approach we embed the object into
a fluorescent liquid. By analyzing the light rays that become visible
due to fluorescence rather than analyzing their reflections off the
surface, we can detect the intersection points between the projected
laser sheet and the object surface for a wide range of different materials. For transparent objects we can even directly depict a slice
through the object in just one image by matching its refractive index
to the one of the embedding liquid. This enables a direct sampling
of the object geometry without the need for computational reconstruction. This way, a high-resolution 3D volume can be assembled
simply by sweeping a laser plane through the object. We demonstrate the effectiveness of our light sheet range scanning approach
on a set of objects manufactured from a variety of materials and
material mixes, including dark, translucent and transparent objects.
Projects
Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images
VMV 2012
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.
Video Demo Data Set Bibtex
@InProceedings{Klehm12,
author = {Oliver Klehm, Ilya Reshetouski, Elmar Eisemann, Hans-Peter Seidel, and Ivo Ihrke},
title = "{Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images }",
booktitle = {Proceedings of VMV},
pages = "xx--yy",
year = {2012},
}
author = {Oliver Klehm, Ilya Reshetouski, Elmar Eisemann, Hans-Peter Seidel, and Ivo Ihrke},
title = "{Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images }",
booktitle = {Proceedings of VMV},
pages = "xx--yy",
year = {2012},
}