
doi: 10.1145/2739049
handle: 20.500.14243/291688
Digital reconstruction of ancient polychromy is a relatively recent phenomenon in the history of archaeological and architectural heritage documentation. It has emerged as a result of new interest in the experimental archaeology and the technological development of computer graphic tools. Therefore, this article presents a project aimed at the scientific reconstruction of the original polychromy and the realistic rendering of an ancient sarcophagus, obtained with the use of some open source tools. In particular, starting from the accurate study of a polychrome Roman sarcophagus (National Roman Museum in Rome, inv. no. 125891), we show how the MeshLab tool was used to support the polychrome reconstruction stage and how Blender (or, rather, a combination of MeshLab and Blender) was used to achieve a more sophisticated visual presentation of the current and reconstruction ancient colour. A central role has been given to the rendering of different and overlapped layers of paint.
Virtual colour reconstruction, Roman sarcophagus, MeshLab, 3D digitalization, Open source, Virtual Polychromy, Archaeological artefacts, Modelling tools, Blender
Virtual colour reconstruction, Roman sarcophagus, MeshLab, 3D digitalization, Open source, Virtual Polychromy, Archaeological artefacts, Modelling tools, Blender
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
