Visual Computing

University of Konstanz
Computers and Graphics

Image Stylization with a Painting Machine Using Semantic Hints

T. Lindemeier, S. Pirk, O. Deussen

Abstract

In this paper we present and evaluate painterly rendering techniques that work within a visual feedback loop of eDavid, our painting robot. The machine aims at simulating the human painting process. Two such methods and their semantics-driven combination are compared for different objects. One uses a predefined set of stroke candidates, the other creates strokes directly using line integral convolution. The aesthetics of these methods are discussed and results are shown.

BibTeX

@article{Lindemeier2013ImageStylizationPainting,
  acmid      = {2493792},
  address    = {Elmsford, NY, USA},
  author     = {T. Lindemeier and S. Pirk and O. Deussen},
  doi        = {10.1016/j.cag.2013.01.005},
  issn       = {0097-8493},
  issue_date = {August, 2013},
  journal    = {Computers and Graphics},
  keywords   = {Image stylization, Non-photorealistic rendering, Painterly rendering, Painting machine, Visual feedback},
  month      = {aug},
  number     = {5},
  numpages   = {9},
  pages      = {293--301},
  publisher  = {Pergamon Press, Inc.},
  title      = {Image Stylization with a Painting Machine Using Semantic Hints},
  volume     = {37},
  year       = {2013},
}

Supplemental Material

Paper (.pdf, 25.1 MB)