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Windows and Facades Retrieval using Similarity on Graph of Contours

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.
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Contributor : Jean-Emmanuel Haugeard <>
Submitted on : Monday, November 15, 2010 - 5:12:03 PM
Last modification on : Monday, January 25, 2021 - 3:16:03 PM
Long-term archiving on: : Wednesday, February 16, 2011 - 3:01:13 AM


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  • HAL Id : hal-00536261, version 1



Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, Frédéric Precioso. Windows and Facades Retrieval using Similarity on Graph of Contours. IEEE International Conference on Image Processing (ICIP 09), Nov 2009, Cairo, Egypt. ⟨hal-00536261⟩



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