Abstract
We propose a new technique that evaluates the structures of car interiors by the following two algorithms, based on visual processing in the brain. (1) Medial axes reveal the imaginary skeletal structures within objects. (2) Saliency maps identify the areas attracting attention in visual scenes. Integration of these techniques revealed hidden axes characterizing the global structures of car dashboards, which are possibly more alluring than explicit features. Furthermore, the variety of such hidden axes across different cars/brands can be summarized in reduced dimensional spaces. Because features revealed by this technique are consistent with the framework of universal rules for aesthetic experiences (e.g., symmetry and perceptual problem solving), this could be useful to evaluate some aspects of aesthetic values quantitatively in car interiors.
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