Predicting perceived visual complexity of abstract patterns using computational measures: The influence of mirror symmetry on complexity perception.

ABSTRACT: Visual complexity is relevant for many areas ranging from improving usability of technical displays or websites up to understanding aesthetic experiences. Therefore, many attempts have been made to relate objective properties of images to perceived complexity in artworks and other images. It has been argued that visual complexity is a multidimensional construct mainly consisting of two dimensions: A quantitative dimension that increases complexity through number of elements, and a structural dimension representing order negatively related to complexity. The objective of this work is to study human perception of visual complexity utilizing two large independent sets of abstract patterns. A wide range of computational measures of complexity was calculated, further combined using linear model

SUBMITTER: Gartus A 

PROVIDER: S-EPMC5669424 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature