Authors: Robert Carroll, Maneesh Agrawala, Aseem Agarwala
Abstract: Any projection of a 3D scene into a wide-angle image unavoidably results in distortion. Current projection methods either bend straight lines in the scene, or locally distort the shapes of scene objects. We present a method that minimizes this distortion by adapting the projection to content in the scene, such as salient scene regions and lines, in order to preserve their shape. Our optimization technique computes a spatially-varying projection that respects user-specified constraints while minimizing a set of energy terms that measure wide-angle image distortion. We demonstrate the effectiveness of our approach by showing results on a variety of wide-angle photographs, as well as comparisons to standard projections.
How do you think your software compares to DxO Optics distortion & volume anamorphosis correction? From the few limited examples I've seen the end results seem similar, though I understand DxO Optics is more automated.
chriskennel 2 years ago