Color by numbers

Interactive structuring and vectorization of sketch imagery

Conference Paper (2021)
Author(s)

A.D. Parakkat (TU Delft - Computer Graphics and Visualisation)

Marie Paule Cani (Centre national de la recherche scientifique (CNRS))

Karan Singh (University of Toronto)

Research Group
Computer Graphics and Visualisation
Copyright
© 2021 A.D. Parakkat, Marie-Paule Cani, Karan Singh
DOI related publication
https://doi.org/10.1145/3411764.3445215
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 A.D. Parakkat, Marie-Paule Cani, Karan Singh
Research Group
Computer Graphics and Visualisation
ISBN (electronic)
9781450380966
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We present a novel, interactive interface for the integrated cleanup, neatening, structuring and vectorization of sketch imagery. Converting scanned raster drawings into vector illustrations is a wellresearched set of problems. Our approach is based on a Delaunay subdivision of the raster drawing. We algorithmically generate a colored grouping of Delaunay regions that users interactively refne by dragging and dropping colors. Sketch strokes defned as marking boundaries of diferent colored regions are automatically neatened using Bezier curves, and turned into closed regions suitable for flls, textures, layering and animation. We show that minimal user interaction using our technique enables better sketch vectorization than state of art automated approaches. A user study, further shows our interface to be simple, fun and easy to use, yet efectively able to process messy images with a mix of construction lines, noisy and incomplete curves, sketched with arbitrary stroke style.

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