Visual Quality Assessment
Marcus A. Magnor, Oliver Grau, Olga Sorkine-Hornung, Christian Theobalt · 2015
The ultimate success of real-world visual computing applications depends on how it is perceived by its users. Integrating an understanding of visual perception into modeling systems and evaluating visual quality of rendered output have always been an essential part of computer graphics research. An example of this from the 1970s is Phong’s seminal presentation of a then new reflectance model that used observation of real object highlights as motivation, and a real photograph of a sphere as validation [Phong 75]. Systematic user studies to evaluate and refine methods began to appear in the 1980s, such as Atherton and Caporeal’s study of the discretization and shading of curved surfaces [Atherton and Caporael 85].