Integration of Geodata in Documenting Castle Ruins

Abstract

Textured three dimensional models are currently the one of the standard methods of representing the results of photogrammetric works. A realistic 3D model combines the geometrical relations between the structure's elements with realistic textures of each of its elements. Data used to create 3D models of structures can be derived from many different sources. The most commonly used tool for documentation purposes, is a digital camera and nowadays terrestrial laser scanning (TLS). Integration of data acquired from different sources allows modelling and visualization of 3D models historical structures. Additional aspect of data integration is possibility of complementing of missing points for example in point clouds. The paper shows the possibility of integrating data from terrestrial laser scanning with digital imagery and an analysis of the accuracy of the presented methods. The paper describes results obtained from raw data consisting of a point cloud measured using terrestrial laser scanning acquired from a Leica ScanStation2 and digital imagery taken using a Kodak DCS Pro 14N camera. The studied structure is the ruins of the Ilza castle in Poland.

Application of Integrated Photogrammetric and Terrestrial Laser Scanning Data to Cultural Heritage Surveying

“…Such data is later used for analysis of shapes, geometric consistency of the object or for examining the location of respective structural elements in threedimensional space [10]. The synergy of data allows increasing the amount and quality of geospatial information about the object; furthermore, it provides the opportunity to yield more accurate results of surveying works, cartographic studies, architectural and construction documentation, 3D models and visualisations.…”

“…One of the most important aspects of the TLS information integration with photogrammetric data is the option for completing missing elements of one data pool with another. By generating a point cloud based on photogrammetric data and combining it at control points with a cloud generated by scanning, we receive control elements that allow the accuracy analysis of the completed integration; we also cross-control the two methods for geospatial data acquisition [10].…”

Point Cloud Derived Fromvideo Frames: Accuracy Assessment in Relation to Terrestrial Laser Scanningand Digital Camera Data

“…Multi image matching algorithms are used to generate a point cloud from images or a video sequence (Nex and Rinaudo, 2008), (Delis, 2016). This method has many advantages, such as the possibility of simultaneously processing any number of images or the fact that a given point does not have to be visible on every single image, therefore allowing for temporary occlusions.…”