High-accuracy 3-D modeling of cultural heritage: The digitizing of Donatello's "Maddalena"

被引:86
作者
Guidi, G [1 ]
Beraldin, JA
Atzeni, C
机构
[1] Univ Florence, Dept Telecommun, Florence, Italy
[2] Natl Res Council Canada, Inst Informat Technol, Visual Informat Technol Grp, Ottawa, ON K1A 0R6, Canada
关键词
measurement errors; modeling accuracy; optical distance measurement; three-dimensional (3-D) modeling;
D O I
10.1109/TIP.2003.822592
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 noninvasive 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.
引用
收藏
页码:368 / 378
页数:11
相关论文
共 60 条
[1]  
Andreetto M, 2001, IEEE IMAGE PROC, P574, DOI 10.1109/ICIP.2001.959081
[2]  
[Anonymous], P RESTORATION 92
[3]  
Atkinson KB., 1996, CLOSE RANGE PHOTOGRA
[4]   COLOR REFLECTANCE MODELING USING A POLYCHROMATIC LASER RANGE SENSOR [J].
BARIBEAU, R ;
RIOUX, M ;
GODIN, G .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (02) :263-269
[5]  
BARIBEAU R, 1996, IMAGING PAST ELECT I, P199
[6]  
Beraldin J.-A., 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187), P488, DOI 10.1109/ISCAS.1998.694539
[7]   Real world modelling through high resolution digital 3D imaging of objects and structures [J].
Beraldin, JA ;
Blais, F ;
Boulanger, P ;
Cournoyer, L ;
Domey, J ;
El-Hakim, SF ;
Godin, G ;
Rioux, M ;
Taylor, J .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2000, 55 (04) :230-250
[8]   High-quality texture reconstruction from multiple scans [J].
Bernardini, F ;
Martin, IM ;
Rushmeier, H .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2001, 7 (04) :318-332
[9]   Strategies for registering range images from unknown camera positions [J].
Bernardini, F ;
Rushmeier, H .
THREE-DIMENSIONAL IMAGE CAPTURE AND APPLICATIONS III, 2000, 3958 :200-206
[10]   Muscarinic M2 receptors on peripheral nerve endings: A molecular target of antinociception [J].
Bernardini, N ;
Roza, C ;
Sauer, SK ;
Gomeza, J ;
Wess, J ;
Reeh, PW .
JOURNAL OF NEUROSCIENCE, 2002, 22 (12)