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Poster

MaDCoW: Marginal Distortion Correction for Wide-Angle Photography with Arbitrary Objects

Kevin Zhang · Jia-Bin Huang · Jose Echevarria · Stephen DiVerdi · Aaron Hertzmann

ExHall D Poster #25
[ ] [ Paper PDF ]
[ Poster
Sat 14 Jun 8:30 a.m. PDT — 10:30 a.m. PDT

Abstract:

We introduce MaDCoW, a method for correcting marginal distortion of arbitrary objects in wide-angle photography. People often use wide-angle photography to convey natural scenes—smartphones typically default to wide-angle photography—but depicting very wide-field-of-view scenes produces distorted object appearance, particularly marginal distortion in linear projections. With MaDCoW, a user annotates regions-of-interest to correct, along with straight lines. For each region, MaDCoW solves for a local-linear perspective projection and then jointly solves for a projection for the whole photograph that minimizes distortion. We show that our method can produce good results in cases where previous methods yield visible distortions.

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