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ICIAP
2007
ACM

Window Detection in Facades

14 years 3 months ago
Window Detection in Facades
This work is about a novel methodology for window detection in urban environments and its multiple use in vision system applications. The presented method for window detection includes appropriate early image processing, provides a multi-scale Haar wavelet representation for the determination of image tiles which is then fed into a cascaded classifier for the task of window detection. The classifier is learned from a Gentle Adaboost driven cascaded decision tree [1] on masked information from training imagery and is tested towards window based ground truth information which is - together with the original building image databases - publicly available [10, 11, 13]. The experimental results demonstrate that single window detection is to a sufficient degree successful, e.g., for the purpose of building recognition, and, furthermore, that the classifier is in general capable to provide a region of interest operator for the interpretation of urban environments. The extraction of this categ...
Haider Ali, Christin Seifert, Nitin Jindal, Lucas
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2007
Where ICIAP
Authors Haider Ali, Christin Seifert, Nitin Jindal, Lucas Paletta, Gerhard Paar
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