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Green Image
Issue No. 07 - July (2017 vol. 23)
ISSN: 1077-2626
pp: 1852-1862
Yusuke Matsui , Department of Information and Communication Engineering, The University of Tokyo, Tokyo, Japan
Takaaki Shiratori , Oculus Research Pittsburgh, Facebook Inc, Pittsburgh, PA
Kiyoharu Aizawa , Department of Information and Communication Engineering, The University of Tokyo, Tokyo, Japan
We present DrawFromDrawings, an interactive drawing system that provides users with visual feedback for assistance in 2D drawing using a database of sketch images. Following the traditional imitation and emulation training from art education, DrawFromDrawings enables users to retrieve and refer to a sketch image stored in a database and provides them with various novel strokes as suggestive or deformation feedback. Given regions of interest (ROIs) in the user and reference sketches, DrawFromDrawings detects as-long-as-possible (ALAP) stroke segments and the correspondences between user and reference sketches that are the key to computing seamless interpolations. The stroke-level interpolations are parametrized with the user strokes, the reference strokes, and new strokes created by warping the reference strokes based on the user and reference ROI shapes, and the user study indicated that the interpolation could produce various reasonable strokes varying in shapes and complexity. DrawFromDrawings allows users to either replace their strokes with interpolated strokes (deformation feedback) or overlays interpolated strokes onto their strokes (suggestive feedback). The other user studies on the feedback modes indicated that the suggestive feedback enabled drawers to develop and render their ideas using their own stroke style, whereas the deformation feedback enabled them to finish the sketch composition quickly.
Interpolation, Shape, Feature extraction, Animation, Visual databases, Visualization
Yusuke Matsui, Takaaki Shiratori, Kiyoharu Aizawa, "DrawFromDrawings: 2D Drawing Assistance via Stroke Interpolation with a Sketch Database", IEEE Transactions on Visualization & Computer Graphics, vol. 23, no. , pp. 1852-1862, July 2017, doi:10.1109/TVCG.2016.2554113
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