Reconstructing the Geometry of Flowing Water

We present a recording scheme, image formation model and reconstruction method that enables image-based modeling of flowing bodies of water from multi-video input data. The recorded water is dyed with a fluorescent chemical to measure the thickness of a column of water, which leads to an image formation model based on integrated emissivities along a viewing ray. This model allows for a photoconsistency based error measure for a weighted minimal surface, which is recovered using a PDE obtained from the Euler-Lagrangian formulation of the problem. The resulting equation is solved using the level set method.

• Type: Conference
• Year: 2005
• Where: ICCV
• Authors: Bastian Goldlücke, Ivo Ihrke, Marcus A. Magnor
• Keywords: Computer Vision, Error Measure, ICCV 2005, Image Formation Model, Level Set Method, Recorded Water, Weighted Minimal Surface