A Kaleidoscopic Approach to Surround Geometry and Reflectance Acquisition
We describe a system for acquiring reflectance fields of objects without moving parts and without a massively parallel hardware setup. Our system consists of a set of planar mirrors which serve to multiply a single camera and a single projector into a multitude of virtual counterparts. Using this arrangement, we can acquire reflectance fields with an average angular sampling rate of about 120+ view/light pairs per surface point. The mirror system allows for freely programmable illumination with full directional coverage. We employ this setup to realize a 3D acquisition system that employs structured illumination to capture the unknown object geometry, in addition to dense reflectance sampling. On the software side, we combine state-of-the-art 3D reconstruction algorithms with a reflectance sharing technique based on non-negative matrix factorization in order to reconstruct a joint model of geometry and reflectance. We demonstrate for a number of test scenes that the kaleidoscopic approach can acquire complex reflectance properties faithfully. The main limitation is that the multiplexing approach limits the attainable spatial resolution, trading it off for improved directional coverage.
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.