Automated Modeling of Surface Detail from Point Clouds of Historical Objects
نویسندگان
چکیده
Terrestrial Laser Scanners are well suited for the acquisition of data for subsequent geometric modeling. Modern phase shift laser scanners allow the measuring of point clouds with very high point densities. The redundancy in the data can be used to reduce measurement error, leading to a point cloud with high precision and optimized point spacing. In combination with image data, very detailed models can be generated representing the main characteristics of a cultural heritage site. We developed a method which allows the determination of highly accurate geometric models from laser scanner point cloud in an economically feasible fashion. The method used for the point cloud processing is presented and analyzed and it is shown, how it can be applied fully automatically. To achieve this it is necessary to estimate a parameter for the size of the local neighborhood. A method for estimating this parameter is presented. Results of the method’s application at the UNESCO World Heritage Site Schönbrunn Palace are presented and discussed.
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