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Assembling a weave match study across the entire oeuvre of a painter can provide valuable data regarding chronology.
A comparison of weave maps for paintings by different artists from the same period and place could help to establish patterns of interaction among the artists.
That same year, document-rich studies incorporating weave matches appeared of paintings by Vincent van Gogh (Tilborgh et al.
2012) and Diego Velázquez (Pérez d’Ors, Johnson, and Johnson 2012).
Transforming this numerical procedure into an image produces such as in Figure 1, which display values of the thread count as colored dots.
Striped patterns in the colors are local thread count variations attributable to the mechanics of the weaving process.
The teams tested a variety of procedures and a variety of ways of presenting the results.In the decade since the creation of the first automated thread counting procedures, researchers have used weave maps of thread density and angle to analyze Old Master European paintings from the fifteenth to the early twentieth centuries.Striped weave maps have also been produced for twelfth and thirteenth-century Chinese silk painting supports.The extension to other fabrics with periodic weave patterns can be envisioned as long as they can be imaged with resolution sufficient for a human to count the threads, this might include clothing, flags, and other woven cultural heritage objects.Thus, this decade-long project to develop procedures that use tools from digital signal processing as aids to art historical analysis of paintings on fabric demonstrates the potentials of technology and the trans-disciplinary collaboration between art historians, signal processing engineers, and the institutions that provide the support and data that enable collaborations.