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Color by Numbers: Interactive Structuring and Vectorization of Sketch Imagery

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 refine by dragging and dropping colors. Sketch strokes defined as marking boundaries of different colored regions are automatically neatened using Bézier 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.
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Contributor : Amal Dev Parakkat Connect in order to contact the contributor
Submitted on : Wednesday, January 20, 2021 - 5:36:23 PM
Last modification on : Thursday, January 21, 2021 - 3:29:37 AM
Long-term archiving on: : Wednesday, April 21, 2021 - 7:06:21 PM


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  • HAL Id : hal-03116986, version 1



Amal Dev Parakkat, Marie-Paule Cani, Karan Singh. Color by Numbers: Interactive Structuring and Vectorization of Sketch Imagery. CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, May 2021, Yokohama, Japan. ⟨hal-03116986⟩



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