AUTOMATIC POINT CLOUD SEGMENTATION FOR THE DETECTION OF ALTERATIONS ON HISTORICAL BUILDINGS THROUGH AN UNSUPERVISED AND CLUSTERING-BASED MACHINE LEARNING APPROACH
A. Musicco,R. A. Galantucci,S. Bruno,C. Verdoscia,and F. Fatiguso
A. Musicco
Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, Italy
R. A. Galantucci
Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, Italy
S. Bruno
Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, Italy
C. Verdoscia
Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, Italy
F. Fatiguso
Department of Civil, Environmental, Land, Building Engineering and Chemistry, Polytechnic University of Bari, Italy
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