Not far away from home: a relational distance-based approach to understanding images of houses

  • Authors:
  • Laura Antanas;Martijn van Otterlo;José Oramas M.;Tinne Tuytelaars;Luc De Raedt

  • Affiliations:
  • Katholieke Universiteit Leuven, Belgium;Katholieke Universiteit Leuven, Belgium;Katholieke Universiteit Leuven, Belgium;Katholieke Universiteit Leuven, Belgium;Katholieke Universiteit Leuven, Belgium

  • Venue:
  • ILP'10 Proceedings of the 20th international conference on Inductive logic programming
  • Year:
  • 2010

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Abstract

Augmenting vision systems with high-level knowledge and reasoning can improve lower-level vision processes, by using richer and more structured information. In this paper we tackle the problem of delimiting conceptual elements of street views based on spatial relations between lower-level components, e.g. the element 'house' is composed of windows and a door in a spatial arrangement. We use structured data: each concept can be seen as a graph representing spatial relations between components, e.g. in terms of right, up, close. We employ a distance-based approach between logical interpretations to match parts of images with known examples and provide an experimental evaluation on real images.