Building Information Modeling (BIM) has attracted wide interest in the field of documentation and conservation of Architectural Heritage (AH). Existing approaches focus on converting point clouds from laser scanning to BIM elements, but usually are limited to planar elements that which it is not the typical state of AH where free-form and double-curvature surfaces are common. We propose a method that combines low-cost automatic photogrammetric data acquisition techniques with parametric BIM objects founded on Architectural Treatises and a syntax allowing the transition from the archetype to the type. Point clouds with metric accuracy comparable to that of laser scanning in metric allows accurate as-built model semantically integrated with the ideal model from parametric library. The deviation between as-built model and ideal model is evaluated to determine if feature extraction from point clouds is essential to improve the accuracy of as-built BIM.
Apollonio, F.I., Gaiani, M., Sun, Z. (2017). A Reality Integrated BIM for Architectural Heritage Conservation. Hershey, Pennsylvania (USA) : IGI Global [10.4018/978-1-5225-0675-1.ch002].
A Reality Integrated BIM for Architectural Heritage Conservation
APOLLONIO, FABRIZIO IVAN;GAIANI, MARCO;
2017
Abstract
Building Information Modeling (BIM) has attracted wide interest in the field of documentation and conservation of Architectural Heritage (AH). Existing approaches focus on converting point clouds from laser scanning to BIM elements, but usually are limited to planar elements that which it is not the typical state of AH where free-form and double-curvature surfaces are common. We propose a method that combines low-cost automatic photogrammetric data acquisition techniques with parametric BIM objects founded on Architectural Treatises and a syntax allowing the transition from the archetype to the type. Point clouds with metric accuracy comparable to that of laser scanning in metric allows accurate as-built model semantically integrated with the ideal model from parametric library. The deviation between as-built model and ideal model is evaluated to determine if feature extraction from point clouds is essential to improve the accuracy of as-built BIM.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.