3D-2D Data Fusion in Cultural Heritage Applications (bibtex)
by 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 highresolution 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.
Reference:
Robert Frohlich, Stefan Gubo, Attila Lévai, Zoltan Kato, 3D-2D Data Fusion in Cultural Heritage Applications, Chapter in Heritage Preservation: A Computational Approach (Bhabatosh Chanda, Subhasis Chaudhuri, Santanu Chaudhury, eds.), pp. 111-130, 2018, Springer Singapore.
Bibtex Entry:
@Incollection{Frohlich-etal2018,
  author    = {Robert Frohlich and Stefan Gubo and Attila L{\'{e}}vai and Zoltan Kato},
  title     = {3{D}-2{D} Data Fusion in Cultural Heritage Applications},
  booktitle = {Heritage Preservation: A Computational Approach},
  editor    = {Chanda, Bhabatosh and Chaudhuri, Subhasis and Chaudhury, Santanu},
  publisher = {Springer Singapore},
  year      = {2018},
  pages     = {111--130},
  doi       = {10.1007/978-981-10-7221-5_6},
  isbn        = {978-981-10-7221-5},
  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 highresolution 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.}
}
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