Stroke extraction and classification for mesh inflation

  • Authors:
  • L. Olsen;F. F. Samavati

  • Affiliations:
  • University of Calgary;University of Calgary

  • Venue:
  • Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
  • Year:
  • 2010

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Abstract

We 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.