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Image-based window detection: an overview

Neuhausen, Marcel; Koch, Christian; K�nig, Markus

Image-based window detection: an overview Thumbnail


Marcel Neuhausen

Christian Koch

Markus K�nig


Automated segmentation of buildings’ façade and detection of its elements is of high relevance in various fields of research as it, e. g., reduces the effort of 3 D reconstructing existing buildings and even entire cities or may be used for navigation and localization tasks. In recent years, several approaches were made concerning this issue. These can be mainly classified by their input data which are either images or 3 D point clouds. This paper provides a survey of image-based approaches. Particularly, this paper focuses on window detection and therefore groups related papers into the three major detection strategies. We juxtapose grammar based methods, pattern recognition and machine learning and contrast them referring to their generality of application. As we found out machine learning approaches seem most promising for window detection on generic façades and thus we will pursue these in future work.

Conference Name 23rd International Workshop of the European Group for Intelligent Computing in Engineering
End Date Jun 1, 2016
Acceptance Date Apr 22, 2016
Publication Date Jul 1, 2016
Deposit Date Jul 8, 2016
Publicly Available Date Jul 8, 2016
Peer Reviewed Peer Reviewed
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