Abstract

The study of artifact rubbing methods has only been briefly mentioned in the fields of engineering and photography as a discussion of technical procedures and representations of visibility. However, recent research on artifact rubbings has marked a turning point in the discussion as it has been adapted to the digital age. As previous methods of drawing artifacts, such as measuring and tracing, have been digitized, manual rubbing has begun to be replaced. In the process, there have been discussions on digital methodologies for measuring and tracing artifacts, but there has been a lack of discussion on the application of digital methods for rubbing. Some research on digital applications of rubbing has focused on the mapping of scanned modeling materials of artifacts from a technical perspective. Nowadays, the application of algorithms through artificial intelligence is leading to tangible research on tablets. However, it has not yet advanced as a research topic. Recognizing this problem, this paper discusses the transition to the digital application of rubbing and its methodology. In particular, we aimed to show how it can be applied to investigations and research beyond the existing technical process of rubbing, and how to optimize it.
 The process of digital rubbing was applied in two main ways. The first is to visualize the mapping results through the existing AO map texture extraction method as an image, and the second is to produce original artifacts in the form of high polygon and low polygon artifacts to map and visualize black and white textures. In order to extract the optimal tabletop image, the low-polygon artifact is smoothed to provide an appropriate numerical criterion. The digital tabletop material was then used to flatten and expand the tabletop image by applying the Streching technique, and the image was imaged to provide a direction for the editorial drawings of the report.

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