Virtual Reality & Intelligent Hardware (Oct 2022)

A Simple, Stroke-Based Method for Gesture Drawing

  • Lesley Istead,
  • Joe Istead,
  • Andreea Pocol,
  • Craig S. Kaplan

Journal volume & issue
Vol. 4, no. 5
pp. 381 – 392

Abstract

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Background: Gesture drawing is a type of fluid, fast sketch with loose and roughly drawn lines which capture the motion and feeling of a subject. While style transfer methods, which are able to learn a style from an input image and apply it to a secondary image, can reproduce many styles, they are currently unable to produce the flowing strokes of gesture drawings. Method: In this paper, we present a method to produce gesture drawings, which roughly depict objects or scenes with loose, dancing contours, and frantic textures. Our method adapts stroke-based painterly rendering algorithms to produce long, curved strokes by following the gradient field. A rough, overdrawn appearance is created through progressive refinement.Additionally, we produce rough hatch strokes by altering stroke direction. These add optional shading to the gesture drawings. Results: The wealth parameters that provide users the ability to adjust the output style from short, rapid strokes to long, fluid strokes, from swirling to straight lines. Potential stylistic outputs also include pen-and-ink and coloured pencil. We present several generated gesture drawings and discuss how our method can be applied to video. Conclusion: Our stroke-based rendering algorithm produces convincing gesture drawings with numerous controllable parameters permitting the creation of a variety of styles.

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