In this paper, we present an analysis focused on the visual features of paintings, especially Western paintings following the introduction of Modernism. Building on this analysis, we also present methods of parametric painterly image generation from 3D models of visual objects. Painting styles that grew out of the modern age, such as Impressionism, Cubism, and abstract paintings, stress the exploration of an object’s constant color, form and other features. The expressions in modern paintings which focus on particular features have a close association with the way the brain visually processes information. Thus, we introduce modules of visual information processing consisting of form vision, space vision and color vision as vision parameters, and analyze the visual features in paintings. Moreover, we propose methods of achieving the parametric transformation of 3D models, and image generation that includes the expression of visual features classified according to their analysis.