Quality assessment of 3D building data

Devrim Akca, Mark Freeman, Isabel Sargent, Armin Gruen
  • The Photogrammetric Record, December 2010, Wiley
  • DOI: 10.1111/j.1477-9730.2010.00598.x

FAST QUALITY CONTROL OF 3D CITY MODELS. Quality assessment of 3D building and city models.

What is it about?

Three-dimensional building models are often now produced from lidar and photogrammetric data. The quality control of these models is a relevant issue both from the scientific and practical points of view. This work presents a method for the quality control of such models.

Why is it important?

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. This metric is independent of the method of data capture. The proposed method can favourably address the reference system accuracy, positional accuracy and completeness.


Dr Devrim AKCA (Author)
Isik University

Experiments have been carried out on three test sites in Great Britain. The results of this work provide measures of how well an entire building model matches reality and thus helps to identify where it differs. This method, in combination with lidar point clouds as verification data, allows frequent and effortless quality control of 3D building models. This also allows the identification of areas of 3D models requiring update, in order to create high quality and complete 3D city models. This work focuses on the quality control of 3D building data; however, the same procedure can be used for building change detection.

The following have contributed to this page: Dr Devrim AKCA