Print Email Facebook Twitter Delaunay Painting Title Delaunay Painting: Perceptual Image Colouring from Raster Contours with Gaps Author Parakkat, A.D. (TU Delft Computer Graphics and Visualisation; Telecom Paris Tech) Memari, Pooran (Institut Polytechnique de Paris) Cani, Marie Paule (Institut Polytechnique de Paris) Date 2022 Abstract We introduce Delaunay Painting, a novel and easy-to-use method to flat-colour contour-sketches with gaps. Starting from a Delaunay triangulation of the input contours, triangles are iteratively filled with the appropriate colours, thanks to the dynamic update of flow values calculated from colour hints. Aesthetic finish is then achieved, through energy minimisation of contour-curves and further heuristics enforcing the appropriate sharp corners. To be more efficient, the user can also make use of our colour diffusion framework, which automatically extends colouring to small, internal regions such as those delimited by hatches. The resulting method robustly handles input contours with strong gaps. As an interactive tool, it minimizes user's efforts and enables any colouring strategy, as the result does not depend on the order of interactions. We also provide an automatized version of the colouring strategy for quick segmentation of contours images, that we illustrate with applications to medical imaging and sketch segmentation. Subject assistive interfacescomputational geometryimage processinginteractionmodellingshape completionsketch coloring To reference this document use: http://resolver.tudelft.nl/uuid:82741bc2-563a-426d-a43f-9e802ace3781 DOI https://doi.org/10.1111/cgf.14517 ISSN 0167-7055 Source Computer Graphics Forum (online), 41 (6), 166-181 Part of collection Institutional Repository Document type journal article Rights © 2022 A.D. Parakkat, Pooran Memari, Marie Paule Cani Files PDF Computer_Graphics_Forum_2 ... h_Gaps.pdf 5.94 MB Close viewer /islandora/object/uuid:82741bc2-563a-426d-a43f-9e802ace3781/datastream/OBJ/view