Local optimization of distortions in wide-angle images using moving least-squares

Authors:
Yoshihiro Kanamori;Nguyen Huu Cuong;Tomoyuki Nishita
Affiliations:
University of Tsukuba;The University of Tokyo;The University of Tokyo
Venue:
Proceedings of the 27th Spring Conference on Computer Graphics
Year:
2011

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Abstract

We present a fast algorithm for reducing the undesired distortions (e.g., bending of straight lines) that often appear in wide-angle images especially taken with fisheye lenses. Our method allows the user to intuitively specify curves to be straightened by using quadratic control curves, and then automatically warps the image based on moving least-squares (MLS) while minimizing distortions in the vicinity of the curves. Unlike previous methods, our method provides results instantly, and allows the user to manipulate curves to obtain better results once after the initial solution is given. We demonstrate the effectiveness of our method with a variety of wide-angle images, together with comparisons to related projections.