Computer Graphics

University of California - Berkeley

Optimizing Content-Preserving Projections for Wide-Angle Images


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.


Robert Carroll, Maneesh Agrawala, and Aseem Agarwala. "Optimizing Content-Preserving Projections for Wide-Angle Images". SIGGRAPH 2009, pages 43:1–43:9, August 2009.

Supplemental Material

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