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| Content Provider | PubMed Central |
|---|---|
| Author | Lyu, Siwei Rockmore, Daniel Farid, Hany |
| Copyright Year | 2004 |
| Abstract | We describe a computational technique for authenticating works of art, specifically paintings and drawings, from high-resolution digital scans of the original works. This approach builds a statistical model of an artist from the scans of a set of authenticated works against which new works then are compared. The statistical model consists of first- and higher-order wavelet statistics. We show preliminary results from our analysis of 13 drawings that at various times have been attributed to Pieter Bruegel the Elder; these results confirm expert authentications. We also apply these techniques to the problem of determining the number of artists that may have contributed to a painting attributed to Pietro Perugino and again achieve an analysis agreeing with expert opinion. |
| Related Links | http://dx.doi.org/10.1073/pnas.0406398101 |
| Ending Page | 17010 |
| Page Count | 5 |
| Starting Page | 17006 |
| File Format | |
| ISSN | 00278424 |
| e-ISSN | 10916490 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Issue Number | 49 |
| Volume Number | 101 |
| Language | English |
| Publisher | National Academy of Sciences |
| Publisher Date | 2004-12-07 |
| Access Restriction | Open |
| Rights Holder | National Academy of Sciences |
| Subject Keyword | General Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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