Quality Assessment of 3d Building Data by 3d Surface Matching

This is a cooperative work between the Chair of Photogrammetry and Remote Sensing of ETH Zurich and the Research department of Ordnance Survey, called “Quality Assessment of 3D Building Data”. The project aims to derive methods to calculate metrics for the quantitative evaluation of 3D building models, which are assumed to be basic elements of a given 3D city model. The developed metrics should respond to customer (of Ordnance Survey) requirements and should be independent of the method of data capture. The input model (3D building data) is co-registered to the verification data using a 3D surface matching method. The 3D surface matching evaluates the Euclidean distances between the verification and input data sets. The Euclidean distances give appropriate metrics for the 3D model quality. The proposed method can favourably address the following quality criteria: reference system accuracy, positional accuracy and completeness. * Corresponding author.