Quality assessment for material appearance
Host Institution: NTNU
- Marius Pedersen (NTNU)
- Stephen Westland (LEEDS)
- Arjan Kuijper (TUDA)
Develop more meaningful and useful image quality metrics that better estimate how good material appearance (2.5D printed images) serve as visual representations of the objects they depict.
- Establish guidelines for subjective and objective evaluation of material reproduction.
- Modelling the human visual system for material reproduction.
- Estimating perceptual image quality by using objective image quality metrics based on the human visual system for material reproduction.