Computer Vision and Medieval Walls
Professor Caroline Bruzelius (Art, Art History & Visual Studies) led a team of Duke undergraduate students on a research trip to Naples over Spring break 2013. They used the opportunity to test a new data capture system for use with medieval masonry, working primarily in the church of San Lorenzo, a Franciscan basilica in the heart of medieval Naples. The students are experimenting with an analytic system for the study of historic buildings through pattern recognition, data mining, and texture analysis. Their research works with computational analytics to examine the surface textures left by masons on building stones in order to extract information on the technology of stonecutting, possibly identify individual masons (tool marks are like signatures), and eventually provide educated estimates on the size of the labor force. This project is part of a multi-year research and teaching initiative that will result in independent research and senior distinction theses for undergraduates. The student team works closely with Professor Bruzelius and Professor Carlo Tomasi (Computer Science) to collect data, develop and eventually test the new analytic systems with the intention of creating a systematic protocol for the study of walls, carved surfaces (flat and curved) and masonry construction in historic buildings and eventually sculpture. Duke students involved in this project may be in a position to provide an original contribution to scholarship of on-going utility that might have broader implications for fields of study in restoration of historic monuments as well as Ancient and Medieval Sculpture, Archaeology, and Architectural and Urban History.