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De-sketching

Resource type
Date created
2018-06-22
Authors/Contributors
Abstract
Many software applications exist for plotting graphs of mathematical functions, yet there are none (to our knowledge) that perform the inverse operation - estimating mathematical expressions from graphs. Since plotting graphs (especially by hand) is often referred to as "sketching," we refer to the inverse operation as "de-sketching." As the number of mathematical expressions that approximate a given curve can be quite large, in this demo we restrict our attention to polynomials, and present a deep model that performs de-sketching by finding the best second-degree polynomial to fit the curve in the input image. Currently, our trained model is able to provide reasonably accurate estimates of polynomial coefficients for both synthetically-generated and hand-drawn curves.
Document
Published as
L. Bragilevsky and I. V. Bajic, "De-sketching," IEEE Multimedia Signal Processing Workshop (MMSP), Vancouver, BC, Aug. 2018.
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
English
Download file Size
de-sketching.pdf 297.33 KB

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