Olsen, LukeSamavati, Faramarz F.Marc Alexa and Ellen Yi-Luen Do2014-01-282014-01-282010978-3-905674-25-51812-3503https://doi.org/10.2312/SBM/SBM10/009-016We provide a method for extracting and classifying stroke segments from a line drawing or sketch with the goal of producing perceptually-valid output in the context of mesh inflation. This is important as processing freehand sketch input is a fundamental task in sketch-based interfaces, yet many systems bypass the problem by forcing simplified, unnatural drawing patterns. Our stroke extraction combines contour tracing with feature-preserving post-processing. The extracted strokes are classified according to the objects and regions in the sketch: object and region boundaries, interior features, and suggestive lines. The outcome of this classification is demonstrated with examples in feature-sensitive mesh inflation.Categories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.6]: Interaction Techniques- [I.3.5]: Surface Representations-Image Processing and Computer Vision [I.4.6]: Edge and feature detection-