Analyzing symmetry and symmetry breaking by computational aesthetic measures
This work addresses the challenge of quantifying aesthetic design elements in digital art for artists and computational designers, but it appears incremental as it builds on existing symmetry concepts and computational measures.
The paper tackled the problem of analyzing symmetry and symmetry breaking in digital art by using computational aesthetic measures as metrics for design parameters, such as symmetry type and degree of symmetry breaking, with a focus on patterns derived from sand-bubbler crab behavior and including color transformations.
We study creating and analyzing symmetry and broken symmetry in digital art. Our focus is not so much on computer-generating artistic images, but rather on analyzing concepts and templates for incorporating symmetry and symmetry breaking into the creation process. Taking as a starting point patterns generated algorithmically by emulating the collective feeding behavior of sand-bubbler crabs, all four types of two-dimensional symmetry are used as isometric maps. Apart from a geometric interpretation of symmetry, we also consider color as an object of symmetric transformations. Color symmetry is realized as a color permutation consistent with the isometries. Moreover, we analyze the abilities of computational aesthetic measures to serve as a metric that reflects design parameters, i.e. the type of symmetry and the degree of symmetry breaking.