Analysis and prediction of visual appearance

Analysis and prediction of visual appearance

Visual appearance plays a central role in many domains especially in (computational) printing, art design and visual diagnostics. An objective approach able to combine photometry, image processing and machine learning techniques makes possible the prediction of appearance attributes as color, texture, glossy and perceptual transparency from a reduced amount of data. We develop physical/digital models comprising light flux propagation and scattering, reflectance estimation from RGB images, visual saliency.