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An image-based method for animated stroke rendering

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Abstract

This paper presents an image-space stroke rendering algorithm that provides temporally coherent placement of lines at particles that are moving with object surfaces. We generate particles in image space and move them according to an image-space velocity field. Consistent image-space density is achieved by a deterministic rejection-based algorithm that uses low-discrepancy series to filter out overpopulated areas and to fill in underpopulated regions. Our line stabilization method can solve the temporal continuity problems of image-space techniques. The multi-pass algorithm is implemented entirely on the GPU using geometry shaders and vertex transform feedback. Our method provides high-quality results and is implemented as an interactive post processing step. We also provide a wide toolset for artists to control the final rendering style and extended the method to process real-life RGBZ footage.

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Correspondence to Tamás Umenhoffer.

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Umenhoffer, T., Szirmay-Kalos, L., Szécsi, L. et al. An image-based method for animated stroke rendering. Vis Comput 34, 817–827 (2018). https://doi.org/10.1007/s00371-018-1531-9

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Keywords

  • NPR
  • Stroke rendering
  • Hatching