Virtual anthropology and forensic arts: the facial reconstruction of Ferrante Gonzaga

被引:24
作者
Benazzi, Stefano [1 ,2 ]
Bertelli, Paolo [3 ]
Lippi, Barbara [4 ]
Bedini, Elena [5 ]
Caudana, Roberto [6 ]
Gruppioni, Giorgio [2 ]
Mallegni, Francesco [4 ]
机构
[1] Univ Vienna, Dept Anthropol, A-1090 Vienna, Austria
[2] Univ Bologna, Dept Hist & Method Conservat Cultural Heritage, I-40126 Bologna, Italy
[3] Univ Verona, Dept Branches Hist Art Archaeol & Geog, I-37100 Verona, Italy
[4] Univ Pisa, Dept Biol, I-56100 Pisa, Italy
[5] Anthropozool Livorno, Livorno, Italy
[6] Carlo Poma Hosp, Dept Radiol, Mantua, Italy
关键词
3D virtual modelling; Forensic anthropology; Rapid prototyping; Geometric morphometrics; Superimposition techniques; IDENTIFICATION; STATURE; FACE;
D O I
10.1016/j.jas.2010.01.018
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
In the last few years virtual anthropology has been used to solve different problems that could not be properly addressed using a traditional anthropological approach. Mainly when dealing with mummies or embalmed bodies, the virtual approach is the only solution to carry out a detailed analysis of the skeleton without jeopardizing the integrity of the physical remains. Based on these new technologies, the embalmed body of Ferrante Gonzaga (1507-1557), an Italian noblemen of the Renaissance period, was CT scanned and the digital three-dimensional data were used for virtual anthropological analysis. A physical model of the skull was obtained by rapid prototyping technique and used for facial reconstruction according to forensic art methods. Finally, the reconstructed face was compared with two portraits of Ferrante Gonzaga (Uffizi and Ambras portraits) using a virtual skull-painting superimposition technique. Despite the limits of the superimposition method when dealing with historical portraits in fronto-lateral view, our results pointed out more similarities with the Ambras portrait. By means of this multi-disciplinary approach, doubts regarding the reliability of historical portraits could be resolved. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1572 / 1578
页数:7
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