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FEATURE BASED MODEL VERIFICATION (FBMV): A NEW CONCEPT FOR HYPOTHESIS VALIDATION IN BUILDING RECONSTRUCTION

Geometric modeling and three dimensional (3D) description of objects, such as buildings, collected through an imaging system has become a topic of increasing importance as they are essential for a variety of applications such as telecommunication, 3D city models, virtual tourist information system, etc. Inevitably, a fully human-based image interpretation system would be a costly and labour intensive operation. Therefore, there is an increasing demand towards fully-, or alternatively (for the time being) semi-automatic machine-based image interpretation systems. This paper introduces a novel method called Feature Based Model Verification (FBMV), for modification and refinement of the reconstructed generic polyhedral-like building objects. The development of FBMV is part of an ongoing research project that aims to develop an automated method for recognition and 3D reconstruction of generic building objects using aerial images. A boundary representation (b-rep) of a coarse building hypothesis is generated in a bottom-up process from simple qualitative geometric primitives in image domain to more complex quantitative primitives in object domain. Subsequently, the reconstructed coarse building undergoes a refinement process based on FBMV concept. The verification process is performed by simultaneously fitting the reconstructed model primitives into the homologous two dimensional (2D) features in images taken from different viewpoints while at the same time the geometrical and topological model information is imposed into the process as external and/or internal constraints.