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Quality assessment of 3D building data

Quality assessment of 3D building data
Quality assessment of 3D building data
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. 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. Three practical examples of the method are provided for demonstration.
339-355
Akca, Devrim
1211ca99-3fb8-41fe-b239-35cf7cb74fd5
Freeman, Mark
5d7f5f00-ac74-4871-aebc-64eef530f162
Sargent, I.
5d618872-c1aa-4758-9c63-84c3c923fc2f
Gruen, Armin
670e7d40-db01-422c-ac94-351cdb953e1b
Akca, Devrim
1211ca99-3fb8-41fe-b239-35cf7cb74fd5
Freeman, Mark
5d7f5f00-ac74-4871-aebc-64eef530f162
Sargent, I.
5d618872-c1aa-4758-9c63-84c3c923fc2f
Gruen, Armin
670e7d40-db01-422c-ac94-351cdb953e1b

Akca, Devrim, Freeman, Mark, Sargent, I. and Gruen, Armin (2010) Quality assessment of 3D building data. Photogrammetric Record, 25 (132), 339-355. (doi:10.1111/j.1477-9730.2010.00598.x).

Record type: Article

Abstract

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. 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. Three practical examples of the method are provided for demonstration.

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Published date: 2010

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Local EPrints ID: 499517
URI: http://eprints.soton.ac.uk/id/eprint/499517
PURE UUID: d4c0f84c-e39d-4594-948e-07bf19936987

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Date deposited: 24 Mar 2025 17:31
Last modified: 24 Mar 2025 17:31

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Contributors

Author: Devrim Akca
Author: Mark Freeman
Author: I. Sargent
Author: Armin Gruen

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