Color by Numbers: Interactive Structuring and Vectorization of Sketch Imagery

要旨

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 well-researched 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 refine by dragging and dropping colors. Sketch strokes defined as marking boundaries of different colored regions are automatically neatened using Bezier curves, and turned into closed regions suitable for fills, 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 effectively able to process messy images with a mix of construction lines, noisy and incomplete curves, sketched with arbitrary stroke style.

著者
Amal Dev Parakkat
TU Delft, Delft, Netherlands
Marie-Paule R.. Cani
CNRS/Ecole Polytechnique, IP Paris, Paris, France
Karan Singh
University of Toronto, Toronto, Ontario, Canada
DOI

10.1145/3411764.3445215

論文URL

https://doi.org/10.1145/3411764.3445215

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Interaction Techniques / Sketch and Illustration / Privacy

[B] Paper Room 08, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 08, 2021-05-14 09:00:00~2021-05-14 11:00:00 / [A] Paper Room 08, 2021-05-13 17:00:00~2021-05-13 19:00:00
Paper Room 08
13 件の発表
2021-05-14 01:00:00
2021-05-14 03:00:00
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