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This paper describes a method for automatic verification of 3D building models using airborne oblique images. The problem being\udtackled is identifying buildings that are demolished or changed since the models were constructed or identifying wrong models using\udthe images. The models verified are of CityGML LOD2 or higher since their edges are expected to coincide with actual\udbuilding edges. The verification approach is based on information theory. Corresponding variables between building models and\udoblique images are used for deriving mutual information for individual edges, faces or whole buildings, and combined for all\udperspective images available for the building. The wireframe model edges are projected to images and verified using low level\udimage features – the image pixel gradient directions. A building part is only checked against images in which it may be visible. The\udmethod has been tested with models constructed using laser points against Pictometry images that are available for most cities of\udEurope and may be publically viewed in the so called Birds Eye view of the Microsoft Bing Maps. Results are that nearly all\udbuildings are correctly categorised as existing or demolished. Because we now concentrate only on roofs we also used the method to\udtest and compare results from nadir images. This comparison made clear that especially height errors in models can be more reliably\uddetected in oblique images because of the tilted view. Besides overall building verification, results per individual edges can be used\udfor improving the 3D building models

VERIFICATION OF 3D BUILDING MODELS USING MUTUAL INFORMATION IN AIRBORNE OBLIQUE IMAGES