3D-2D Data Fusion in Cultural Heritage Applications

Robert Frohlich, Stefan Gubo, Attila Lévai, Zoltan Kato

Abstract: We propose a workflow for cultural heritage applications where the fusion of 3D and 2D visual data is required. Using a metric 3D point cloud acquired by a Lidar scanner and 2D images of a commercial high-resolution DSLR camera, we show how to produce a high-quality, metric 3D model for documenting or architectural planning purpose. The proposed processing workflow describes the data acquisition tasks, the steps of the data processing, and the proposed method used for colorizing the point cloud from multiple cameras by choosing the camera with the best view based on different conditions. We show results on two Reformed churches.