Windows and facades retrieval using similarity on graph of contours

  • Authors:
  • Jean-Emmanuel Haugeard;Sylvie Philipp-Foliguet;Frédéric Precioso

  • Affiliations:
  • ETIS, CNRS, ENSEA, Univ. Cergy-Pontoise, Cergy Pontoise, France;ETIS, CNRS, ENSEA, Univ. Cergy-Pontoise, Cergy Pontoise, France;ETIS, CNRS, ENSEA, Univ. Cergy-Pontoise, Cergy Pontoise, France

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

The development of street-level geoviewers become recently a very active and challenging research topic. In this context, the detection, representation and classification of windows can be beneficial for the identification of the respective facade. In this paper, a novel method for windows and facade retrieval is presented. This method, based on a similarity of graph of contours, introduces a new kernel on graph for inexact graph matching. We design a kernel similarity function for structured sets of contours which will take into account the variations of contour orientation inside a structure set, as well as spatial proximity. Then we are able to extract a window as a sub-graph of the graph of all contours of the facade image and to retrieve similar windows from a database of images of facades.