Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction

  • Stephan K. Chalup
  • Riley Clement
  • Chris Tucker
  • Michael J. Ostwald
Conference paper

DOI: 10.1007/978-3-540-76931-6_8

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4828)
Cite this paper as:
Chalup S.K., Clement R., Tucker C., Ostwald M.J. (2007) Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction. In: Randall M., Abbass H.A., Wiles J. (eds) Progress in Artificial Life. ACAL 2007. Lecture Notes in Computer Science, vol 4828. Springer, Berlin, Heidelberg

Abstract

This paper addresses the topic of how architectural visual experience can be represented and utilised by a software system. The long-term aim is to equip an artificial agent with the ability to make sensible decisions about aesthetics and proportions. The focus of the investigation is on the feature of line distributions extracted from digital images of house façades. It is demonstrated how the dimensionality reduction method isomap can be applied to calculate non-linear “streetmanifolds” where each point on the manifold corresponds to a house façade. Through interpolation between manifold points and the application of an inverse Hough transform, basic structure plans for new house façades are obtained. If the interpolated points are close to the manifold it can be argued that the new plans reflect the character of the surrounding streetscape. The method is also demonstrated using basic examples which can be represented by circles.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Stephan K. Chalup
    • 1
  • Riley Clement
    • 1
  • Chris Tucker
    • 1
  • Michael J. Ostwald
    • 1
  1. 1.Faculty of Engineering and Built Environment, The University of Newcastle, Callaghan 2308Australia

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