Quantitative Assessment of Composition in Art

Abstract

We present a new method to evaluate the impression of paintings, in terms of a mathematical modeling and quantitative assessments of impression in western painting. The present method is based on a detailed modeling of various factors and elements that consist of the composition of the painting. Impressions of 20 subject-people for 50 paintings are measured using the semantic differential method, which are compared to the impressions calculated with the present method. Their correlation is analyzed with Akaike's Information Criterion (AIC) standard. A strong correlation is obtained.