Color by numbers

Interactive structuring and vectorization of sketch imagery

Conference Paper (2021)
Author(s)

Amal Dev Parakkat (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Marie-Paule Cani (Centre National de la Recherche Scientifique (CNRS))

Karan Singh (University of Toronto)

Research Group
Computer Graphics and Visualisation
DOI related publication
https://doi.org/10.1145/3411764.3445215 Final published version
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Publication Year
2021
Language
English
Research Group
Computer Graphics and Visualisation
Bibliographical Note
Accepted author manuscript
Article number
189
Publisher
ACM
ISBN (electronic)
9781450380966
Event
2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 (2021-05-08 - 2021-05-13), Virtual, Online, Japan
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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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