Abstract
Abstract. Geometric documentation is one of the most important task of the Cultural Heritage (CH) conservation and management policies. 3D documentation, prior to any conservation and restoration works, is considered a basic pre-requisite for preserving, understanding, communicating and valorizing CH sites and objects (London Charter, 2009; Sevilla Principles, 2011). 3D models have become the usual way of digitally preserving, communicating, explaining and disseminat ing cultural knowledge, as they have the capability of reproducing ancient states and behaviors. Using photo-realistic and accurate 3D models, the current conservation state can be shown and preserve for future generations. But despite the large request of 3D models in the CH field, there is no 3D documentation method which can properly satisfy all the areas with their requirements, therefore a fusion methodology (of data and sensors) is normally required and performed. The paper analyzes the fusion concept and levels as well as some merging approaches so far presented in the research community. While the paper will be necessarily incomplete due to space limitations, it will hopefully give an understanding on the actual methods of data fusion and clarify some open research issues.
Highlights
Data fusion, or data integration, refers to the process of merging data coming from different sources - and, generally, at different geometric resolution – but representing the same real-world object in order to produce a consistent, accurate and useful representation
ABS TRACT: Geometric documentation is one of the most important task of the Cultural Heritage (CH) conservation and management policies. 3D documentation, prior to any conservation and restoration works, is considered a basic pre-requisite for preserving, understanding, communicating and valorizing CH sites and objects (London Charter, 2009; Sevilla Principles, 2011). 3D models have become the usual way of digitally preserving, communicating, explaining and disseminating cultural knowledge, as they have the capability of reproducing ancient states and behaviors
While the paper will be necessarily incomplete due to space limitations, it will hopefully give an understanding on the actual methods of data fusion and clarify some open research issues
Summary
Data integration, refers to the process of merging data (and knowledge) coming from different sources (or sensors) - and, generally, at different geometric resolution – but representing the same real-world object in order to produce a consistent, accurate and useful representation. Low level data fusion combines several sources of raw data to produce new raw data. Similar terms referring to the same concept are data integration, sensor fusion or information fusion. Data fusion is an essential issue and powerful solution in Cultural Heritage, as frequently there is no way to be completely successful without combining methodologies and data. The paper will primarily review the needs, problems and proposed solutions in data fusion, reporting some of the past scientific publications. This review, while necessarily incomplete due to space limitations, will hopefully give an understanding on the actual methods of data fusion and clarify some open research issues
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
