Windows and facades retrieval using similarity on graph of contours
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Entrance detection of buildings using multiple cues
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
Tiling of ortho-rectified facade images
Proceedings of the 26th Spring Conference on Computer Graphics
Reconstruction of structure and texture of city building facades
Programming and Computing Software
Architectural style classification of building facade windows
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Efficient and scalable 4th-order match propagation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Toward automated façades generation from oblique aerial images
UDMV '13 Proceedings of the Eurographics Workshop on Urban Data Modelling and Visualisation
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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 categorical information is beneficial to index into search spaces for urban object recognition as well as aiming towards providing a semantic focus for accurate post-processing in 3D information processing systems. Targeted applications are (i) mobile services on uncalibrated imagery, e.g. , for tourist guidance, (ii) sparse 3D city modeling, and (iii) deformation analysis from high resolution imagery.