Estimating image distortions for mirror anamorphoses using sampled point displacements

Bachelor thesis (2021)

Authors

G.D. Brouwer Electrical Engineering, Mathematics and Computer Science

Contributors

B. Usta Computer Graphics and Visualisation - EEMCS (mentor)
E. Eisemann Computer Graphics and Visualisation - EEMCS (mentor)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Gees Brouwer
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Published Date

27-06-2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The principle of a mirror anamorphosis relies on distortion caused by a reflective object of a particular shape and the perspective of a viewer looking into the reflective object to look at an image on the surface. The distortion of the reflected image is intended to form a recognizable image, while the image on the surface looks completely different. There are many ways a computer could aid the creation of this form of art by determining how the image is being distorted, but in most cases a regular artist would not know specific geometric details of the scene. In these cases a solution is for the creator to provide any image on the surface and an image of its distortion caused by the scene. The creator can match points between both images to guide the computer into calculating the (estimated) distortion.