Generalized Image Acquisition and Analysis

From Capture to Simulation - Connecting Forward and Inverse Problems in Fluids

We explore the connection between fluid capture, simulation and proximal methods, a class of algorithms commonly used for inverse problems in image processing and computer vision. Our key finding is that the proximal operator constraining fluid velocities to be divergence-free is directly equivalent to the pressure-projection methods commonly used in incompressible flow solvers. This observation lets us treat the inverse problem of fluid tracking as a constrained flow problem all while working in an efficient, modular framework. In addition it lets us tightly couple fluid simulation into flow tracking, providing a global prior that significantly increases tracking accuracy and temporal coherence as compared to previous techniques. We demonstrate how we can use these improved results for a variety of applications, such as re-simulation, detail enhancement, and domain modification. We furthermore give an outlook of the applications beyond fluid tracking that our proximal operator framework could enable by exploring the connection of deblurring and fluid guiding.


MATLAB Color Calibration Toolbox

The 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 Calibration

Ivo 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 Sets

A multi-view data set of fire from our SCA 2004 paper and a synthetic multi-view data set (kungfu-girl)

Focal Stack Photography

Focal 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.