Modelling Appearance Printing

Host Institution: LIU

Main Supervisor:

  • Daniel Nyström (LIU)


  • Sasan Gooran (LIU)
  • Kaida Xiao (LEEDS)


The ESR will develop novel colour prediction models customized for the special inks and color mixing technique employed in 2.5D printing, as
well as the extra dimension introduced.

  • Develop colour prediction models for appearance printing, predicting the spectral outcome of the print
  • Invert the forward model into a colour separation model, determining the printer input required for reproducing a specific target colour.
  • Extend the models to include also the angle dependency (viewing and illumination) and the varying gloss level, caused by the surface height variation in 2.5D prints.

ESR Recruited