User-perspective augmented reality magic lens from gradients
Author(s) -
Domagoj Baričević,
Tobias Höllerer,
Pradeep Sen,
Matthew Turk
Publication year - 2014
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2671015.2671027
Subject(s) - computer science , rendering (computer graphics) , computer vision , perspective (graphical) , magic (telescope) , computer graphics (images) , artificial intelligence , lens (geology) , augmented reality , optics , physics , quantum mechanics
In this paper we present a new approach to creating a geometrically-correct user-perspective magic lens and a prototype device implementing the approach. Our prototype uses just standard color cameras, with no active depth sensing. We achieve this by pairing a recent gradient domain image-based rendering method with a novel semi-dense stereo matching algorithm inspired by PatchMatch. Our stereo algorithm is simple but fast and accurate within its search area. The resulting system is a real-time magic lens that displays the correct user perspective with a high-quality rendering, despite the lack of a dense disparity map.
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