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dc.contributor.authorParakkat, Amal Deven_US
dc.contributor.authorMadipally, Prudhvirajen_US
dc.contributor.authorGowtham, Hari Haraen_US
dc.contributor.authorCani, Marie-Pauleen_US
dc.contributor.editorWilkie, Alexander and Banterle, Francescoen_US
dc.date.accessioned2020-05-24T13:43:14Z
dc.date.available2020-05-24T13:43:14Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-101-4
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egs.20201024
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20201024
dc.description.abstractWe introduce a simple Delaunay-triangulation based algorithm for the interactive coloring of neat line-art minimalist sketches, ie. vector sketches that may include open contours. The main objective is to minimize user intervention and make interaction as natural as with the flood-fill algorithm while extending coloring to regions with open contours. In particular, we want to save the user from worrying about parameters such as stroke weight and size. Our solution works in two steps, 1) a segmentation step in which the input sketch is automatically divided into regions based on the underlying Delaunay structure and 2) the interactive grouping of neighboring regions based on user input. More precisely, a region adjacency graph is computed from the segmentation result, and is interactively partitioned based on user input to generate the final colored sketch. Results show that our method is as natural as a bucket fill tool and powerful enough to color minimalist sketches.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectTheory of computation
dc.subjectComputational geometry
dc.subjectComputing methodologies
dc.subjectImage processing
dc.subjectShape analysis
dc.subjectApplied computing
dc.subjectFine arts
dc.titleInteractive Flat Coloring of Minimalist Neat Sketchesen_US
dc.description.seriesinformationEurographics 2020 - Short Papers
dc.description.sectionheadersVisualisation / NPR
dc.identifier.doi10.2312/egs.20201024
dc.identifier.pages85-88


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License