High-contrast Computational Caustic Design (SIGGRAPH 2014 Fast Forward)




Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Jul 21, 2014

Yuliy Schwartzburg, Romain Testuz, Andrea Tagliasacchi, Mark Pauly

To appear in TOG 2014 (SIGGRAPH)

Paper video: https://www.youtube.com/watch?v=R00Iv...

Website: http://lgg.epfl.ch/caustics/


We present a new algorithm for computational caustic design. Our algorithm solves for the shape of a transparent object such that the re- fracted light paints a desired caustic image on a receiver screen. We introduce an optimal transport formulation to establish a correspon- dence between the input geometry and the unknown target shape. A subsequent 3D optimization based on an adaptive discretization scheme then finds the target surface from the correspondence map. Our approach supports piecewise smooth surfaces and non-bijective mappings, which eliminates a number of shortcomings of previous methods. This leads to a significantly richer space of caustic images, including smooth transitions, singularities of infinite light density, and completely black areas. We demonstrate the effectiveness of our approach with several simulated and fabricated examples.


When autoplay is enabled, a suggested video will automatically play next.

Up next

to add this to Watch Later

Add to

Loading playlists...