Abstract
Documenting Cultural Heritage through the extraction of 3D measures with photogrammetry is fundamental for the conservation of the memory of the past. However, when the heritage has been lost the only way to recover this information is the use of historical images from archives. The aim of this study is to experiment with new ways to search for architectural heritage in video material and to save the effort of the operator in the archive in terms of efficiency and time. A workflow is proposed to automatically detect lost heritage in film footage using Deep Learning to find suitable images to process with photogrammetry for its 3D virtual reconstruction. The performance of the network was tested on two case studies considering different architectural scenarios, the Tour Saint Jacques which still exists for the tuning of the networks, and Les Halles to test the algorithms on a real case of an architecture which has been destroyed. Despite the poor quantity and low quality of the historical images available for the training of the network, it has been demonstrated that, with few frames, it was possible to reach the same results in terms of performance of a network trained on a large dataset. Moreover, with the introduction of new metrics based on time intervals the measure of the real time saving in terms of human effort was achieved. These findings represent an important innovation in the documentation of destroyed monuments and open new ways to recover information about the past.
Highlights
The documentation of Cultural Heritage plays a critical role in the conservation of memory and knowledge of the past, and both are necessary to make the best decisions for its protection
In the fifth subsection, the Neural Network results are discussed with respect to the final step of the pipeline, i.e., the photogrammetric reconstruction
In order to achieve this aim, Machine Learning algorithms were identified as potential solutions to reduce the time needed to search for monuments in video documents in historical archives
Summary
The documentation of Cultural Heritage plays a critical role in the conservation of memory and knowledge of the past, and both are necessary to make the best decisions for its protection. An important aspect of the documentation process concerns the collection of data and information about heritage For this reason, recent research in this field has seen the rapid development of technologies to support the management and analysis of historical data regarding heritage. This research focuses on the examination of historical archive data, considering historical film footage in particular The importance of these multimedia materials lies in the fact that heritage monuments and parts of a city that are no longer existing appear in them. For this reason, when there are no other ways to document the lost heritage, these data become sources of key importance, from a cultural and architectural point of view. Information on camera type, camera movement and film used is not always available
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