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1.
IEEE Comput Graph Appl ; 27(6): 60-8, 2007.
Article in English | MEDLINE | ID: mdl-18027798

ABSTRACT

Size and scale issues present a complexity problem in visualizing detailed 3D models built from sensor data. A model of Leonardo da Vinci's Mona Lisa, with its thin pictorial layer, illustrates the need for intuitive real-time processing tools that are seamlessly integrated with a multiresolution visualization environment.


Subject(s)
Computer Graphics , Image Interpretation, Computer-Assisted/methods , Information Storage and Retrieval/methods , Models, Theoretical , Paintings , User-Computer Interface , Computer Simulation , Computer Systems
2.
IEEE Trans Image Process ; 13(3): 370-80, 2004 Mar.
Article in English | MEDLINE | ID: mdl-15376928

ABSTRACT

Three-dimensional digital modeling of Heritage works of art through optical scanners, has been demonstrated in recent years with results of exceptional interest. However, the routine application of three-dimensional (3-D) modeling to Heritage conservation still requires the systematic investigation of a number of technical problems. In this paper, the acquisition process of the 3-D digital model of the Maddalena by Donatello, a wooden statue representing one of the major masterpieces of the Italian Renaissance which was swept away by the Florence flood of 1966 and successively restored, is described. The paper reports all the steps of the acquisition procedure, from the project planning to the solution of the various problems due to range camera calibration and to material non optically cooperative. Since the scientific focus is centered on the 3-D model overall dimensional accuracy, a methodology for its quality control is described. Such control has demonstrated how, in some situations, the ICP-based alignment can lead to incorrect results. To circumvent this difficulty we propose an alignment technique based on the fusion of ICP with close-range digital photogrammetry and a non-invasive procedure in order to generate a final accurate model. In the end detailed results are presented, demonstrating the improvement of the final model, and how the proposed sensor fusion ensure a pre-specified level of accuracy.


Subject(s)
Algorithms , Archaeology/methods , Data Compression/methods , Image Interpretation, Computer-Assisted/methods , Imaging, Three-Dimensional/methods , Sculpture , Signal Processing, Computer-Assisted , Anthropology, Cultural/methods , Archives , Culture , Image Enhancement/methods , Models, Statistical , Pattern Recognition, Automated , Quality Control , Reproducibility of Results , Sensitivity and Specificity
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