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.

Teaching

winter term 2014/15

Lectures

winter term 2013/14

Advanced Display Technology
Ivo Ihrke, Pascal Picart

winter term 2012/13

Seminars

Parallel Visual Computing
Ivo Ihrke, Tobias Ritschel, Mario Fritz

summer term 2012

Lectures

Computational Photography
Ivo Ihrke
Universität des Saarlandes


winter term 2011/12

Seminars

summer term 2011

Lectures

Computational Photography
Ivo Ihrke
Universität des Saarlandes / JKU Linz
Hispos

winter term 2010/11

Seminars

Research Topics in Computational Photography (project-based seminar)
Ivo Ihrke

summer term 2010

Lectures

Computational Photography
Ivo Ihrke, Matthias Hullin
Universität des Saarlandes

winter term 2009/10

Seminars

Computational Photography and Videography
Ivo Ihrke, Christian Theobalt



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