User-Perspective AR Magic Lens from Gradient-Based IBR and Semi-Dense Stereo
Domagoj Baričević, Tobias Höllerer, Pradeep K. Sen, Matthew Turk · IEEE Transactions on Visualization and Computer Graphics · 2016
We present a new approach to rendering a geometrically-correct user-perspective view for a magic lens interface, based on leveraging the gradients in the real world scene. Our approach couples a recent gradient-domain image-based rendering method with a novel semi-dense stereo matching algorithm. Our stereo algorithm borrows ideas from PatchMatch, and adapts them to semi-dense stereo. This approach is implemented in a prototype device build from off-the-shelf hardware, with no active depth sensing. Despite the limited depth data, we achieve high-quality rendering for the user-perspective magic lens.