In the last years, the application of artificial intelligence (Machine Learning and Deep Learning methods) for the classification of 3D point clouds has become an important task in modern 3D documentation and modelling applications. The identification of proper geometric and radiometric features becomes fundamental to classify 2D/3D data correctly. While many studies have been conducted in the geospatial field, the cultural heritage sector is still partly unexplored. In this paper we analyse the efficacy of the geometric covariance features as a support for the classification of Cultural Heritage point clouds. To analyse the impact of the different features calculated on spherical neighbourhoods at various radius sizes, we present results obtained on four different heritage case studies using different features configurations.

GEOMETRIC FEATURES ANALYSIS for the CLASSIFICATION of CULTURAL HERITAGE POINT CLOUDS / Grilli, E.; Farella, E. M.; Torresani, A.; Remondino, F.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 1682-1750. - 42:2(2019), pp. 541-548. (Intervento presentato al convegno 27th CIPA International Symposium - Documenting the Past for a Better Future tenutosi a Ávila nel 1st September 2019) [10.5194/isprs-archives-XLII-2-W15-541-2019].

GEOMETRIC FEATURES ANALYSIS for the CLASSIFICATION of CULTURAL HERITAGE POINT CLOUDS

Torresani A.;
2019-01-01

Abstract

In the last years, the application of artificial intelligence (Machine Learning and Deep Learning methods) for the classification of 3D point clouds has become an important task in modern 3D documentation and modelling applications. The identification of proper geometric and radiometric features becomes fundamental to classify 2D/3D data correctly. While many studies have been conducted in the geospatial field, the cultural heritage sector is still partly unexplored. In this paper we analyse the efficacy of the geometric covariance features as a support for the classification of Cultural Heritage point clouds. To analyse the impact of the different features calculated on spherical neighbourhoods at various radius sizes, we present results obtained on four different heritage case studies using different features configurations.
2019
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
LEIBNIZ UNIV HANNOVER, INST PHOTOGRAMMETRY & GEOINFORMATION, NIENBURGER STR 1, HANNOVER, HANNOVER, GERMANY
International Society for Photogrammetry and Remote Sensing
GEOMETRIC FEATURES ANALYSIS for the CLASSIFICATION of CULTURAL HERITAGE POINT CLOUDS / Grilli, E.; Farella, E. M.; Torresani, A.; Remondino, F.. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 1682-1750. - 42:2(2019), pp. 541-548. (Intervento presentato al convegno 27th CIPA International Symposium - Documenting the Past for a Better Future tenutosi a Ávila nel 1st September 2019) [10.5194/isprs-archives-XLII-2-W15-541-2019].
Grilli, E.; Farella, E. M.; Torresani, A.; Remondino, F.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/330676
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