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Mondrian Stereo

Citation Author(s):
Daniel Scharstein
Submitted by:
Dylan Quenneville
Last updated:
20 September 2017 - 1:18pm
Document Type:
Presentation Slides
Document Year:
2017
Event:
Presenters:
Dylan Quenneville
Paper Code:
MA-L5.4
 

Untextured scenes with complex occlusions still present challenges to modern stereo algorithms. We consider the pathological case of Mondrian Stereo—scenes consisting solely of solid-colored planar regions, inspired by paintings by Piet Mondrian. We analyze assumptions that allow disambiguating such scenes and present a novel stereo algorithm employing symbolic reasoning about matched edge segments. We demonstrate compelling stereo matching results on synthetic scenes and discuss how our insights could be utilized in robust real-world stereo algorithms for untextured environments.

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