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
State of the Art in Computational Plenoptic Imaging
In: STAR Proceedings of EUROGRAPHICS 2011.
Abstract
The plenoptic function is a ray-based model for light that includes the color spectrum as well as spatial,
temporal, and directional variation. Although digital light sensors have greatly evolved in the last years,
one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the
plenoptic function as they convert photons into electrons; in the process, all visual information is irreversibly
lost, except for a two-dimensional, spatially-varying subset - the common photograph. In this state of the
art report, we review approaches that optically encode the dimensions of the plenpotic function transcending
those captured by traditional photography and reconstruct the recorded information computationally.
Project Page Slides Bibtex
@inproceedings{Wetzstein11:STAR,
author = {Gordon Wetzstein and Ivo Ihrke and Douglas Lanman and Wolfgang Heidrich},
title = {State of the Art in Computational Plenoptic Imaging},
booktitle = {STAR Proceedings of Eurographics},
year = 2011,
pages = {25--48},
}
author = {Gordon Wetzstein and Ivo Ihrke and Douglas Lanman and Wolfgang Heidrich},
title = {State of the Art in Computational Plenoptic Imaging},
booktitle = {STAR Proceedings of Eurographics},
year = 2011,
pages = {25--48},
}