Region based fusion of 3D and 2D visual data for Cultural Heritage objects (bibtex)
by Robert Frohlich, Zoltan Kato, Alain Tremeau, Levente Tamás, Shadi Shabo, Yona Waksman
Abstract:
A workflow is proposed for Cultural Heritage applications in which the fusion of 3D and 2D visual data is required. Using data acquired by cheap, standard devices, like a 3D scannar having a low quality 2D camera in it, and a high resolution DSLR camera, one can produce high quality color calibrated 3D model for documenting purpose. The proposed processing workflow combines a novel region based calibration method with an ICP alignment used for refining the results. It works on 3D data, that doesn’t necessarily contain intensity information in it, and 2D images of a calibrated camera. These can be acquired with commercial 3D scanners and color cameras without any special constraint. In contrast with the typical solutions, the proposed method is not using any calibration patterns or markers. The efficiency and robustness of the proposed calibration method has been confirmed on both synthetic and real data.
Reference:
Robert Frohlich, Zoltan Kato, Alain Tremeau, Levente Tamás, Shadi Shabo, Yona Waksman, Region based fusion of 3D and 2D visual data for Cultural Heritage objects, In Proceedings of International Conference on Pattern Recognition, Cancun, Mexico, pp. 2404-2409, 2016, IEEE.
Bibtex Entry:
@string{icpr="Proceedings of International Conference on Pattern Recognition"}
@InProceedings{frohlich-etal2016a,
  author =	 {Robert Frohlich and Zoltan Kato and Alain Tremeau
                  and Levente Tam\'as and Shadi Shabo and Yona Waksman},
  title =	 {Region based fusion of {3D} and {2D} visual data for
                  Cultural Heritage objects},
  booktitle =	 icpr,
  pages =	 {2404-2409},
  year =	 2016,
  address =	 {Cancun, Mexico},
  month =	 {Dec},
  organization = {IEEE},
  publisher =	 {IEEE},
  abstract  = {A workflow is proposed for Cultural Heritage applications in which the fusion of 3D and 2D visual data is required. Using data acquired by cheap, standard devices, like a 3D scannar having a low quality 2D camera in it, and a high resolution DSLR camera, one can produce high quality color calibrated 3D model for documenting purpose. The proposed processing workflow combines a novel region based calibration method with an ICP alignment used for refining the results. It works on 3D data, that doesn’t necessarily contain intensity information in it, and 2D images of a calibrated camera. These can be acquired with commercial 3D scanners and color cameras without any special constraint. In contrast with the typical solutions, the proposed method is not using any calibration patterns or markers. The efficiency and robustness of the proposed calibration method has been confirmed on both synthetic and real data.},
}
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