Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9717
Title: Beyond crude 3D models: From point clouds to historical building information modeling via NURBS
Authors: Oreni, Daniela 
Brumana, Raffaella 
Banfi, Fabrizio 
Bertola, Luca 
Barazzetti, Luigi 
Cuca, Branka 
Previtali, Mattia 
Roncoroni, Fabio 
Keywords: 3D Modelling
HBIM
Laser scanning
NURBS
Sematic
Survey
Issue Date: 2014
Publisher: Springer Verlag
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 8740, 2014, Pages 166-175
Abstract: This paper presents a complete methodology for HBIM generation based on NURBS derived from a set of point clouds. NURBS combined with profiles and anchor points allow one to model the shape of complex historical objects surveyed with laser scanning techniques. As NURBS are mathematical functions defined through mathematical vectors, they can be converted into BIM objects in order to add semantic information.
URI: http://ktisis.cut.ac.cy/handle/10488/9717
ISSN: 03029743
Rights: © Springer International Publishing Switzerland 2014.
Appears in Collections:Άρθρα/Articles

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