摘要：The last decade of advances in Image-Based Modeling (IBM) data acquisition based on Structure from Motion (SfM) have made it possible as never before to record excavated archaeological deposits, historical architectural remains, artifacts, and geographical surroundings in the field. Armed only with digital cameras and low-cost or open-source software, researchers can now produce accurate point clouds of millions of points, capturing archaeological information in high-resolution detail. But what changes will IBM really bring to the standards, requirements, and expectations of practical field methodology for projects operating on shoe-string budgets? Since 2010, the Via Consolare Project, a small archaeological research project from a State level University, has employed an entirely open-source and “free for academic use” IBM pipeline to record a variety of archaeological features in Insula VII 6 and the “Villa delle Colonne a mosaico” in Pompeii. Ranging from surviving architecture, to rubble fill layers, to the interiors of inaccessible cisterns and drains, this work has been carried out in preparation for the eventual coordination of these data into a 3D GIS of all recorded stratigraphy. Rarely were sufficient resources available for dedicated equipment or personnel to be devoted to this task. While practical implementation, even in a low-budget excavation environment, has confirmed that this technology can indeed augment archaeological field documentation and provide investigation opportunities that would otherwise be impossible, it failed to replace traditional handdrafted recording techniques and was found to present significant challenges and a number of hidden costs. This emphasizes a need for appropriate and cautious planning in implementation, especially in projects with limited means. approximately 60 students. Implementation of group work and student presentations in class was successful; the students were satisfied with the course, and an increased learning gain was measured. The course in Dynamic Systems can be further improved by introducing stronger incentives for the students to prepare prior to class.
