Victor Sardenberg

Design Computing and Cognition'22 - Glasgow. Poster is available here. In this poster, the authors introduce a new visual, quantitative aesthetic measure utilising computer vision (CV). The work stands in the extended history of quantifying the visual aesthetic experience (Birkhoff 1933, Bense 1965, Birkin 2010, Oswalt and Vaughan 2016). Birkhoff and Bense followed an approach where empirical user experiments back up a theoretical measure, where Birkin, Oswald and Vaughan devised computational methods. Our work continues the computational approach by automating and accelerating aesthetic quantification using CV. We are specifically keen on architectural images as a shorthand to assign an aesthetic value to design, aiming to navigate the solution space in architecture.