Methods in 3D Imaging and Reconstruction of Anthropological Artifacts

Advisor: Nelson Rios (YPM Head of Biodiversity Informatics and Data Science) 



Length: 8 weeks 


Project description: 

Technological advancements over the past three decades have resulted in an explosion of digital archives across the humanities and natural sciences. In the past few years greater attention has been placed on 2D and 3D imaging of artifacts, in effect bringing these objects out of their cabinets and into public view via the World Wide Web.  Increasingly, researchers are relying upon photogrammetric techniques to generate high-resolution 3D digital surrogates from a series of 2D images. Despite the utility of these techniques, the challenge remains that the vast majority of specimens and artifacts in museums await digitization due to the labor-intensive constraints of contemporary imaging systems and workflows. In short, we have hit a bottleneck, and it is only through significant technological advances that we can extend the capacity of the human workforce to leverage data from collections within the next decade, rather than the next century. The goal of this project will be to evaluate ongoing development of instrumentation for automated high-throughput multi-view imaging. A sample of objects from the Yale Peabody Museum Division of Anthropology will be photographed using this new instrument and photogrammetrically reconstructed for evaluation against the physical object.  


If conditions don’t allow an in-person internship, the internship could take place in the fall. Alternatively, a summer internship could be all remote and would involve analysis and evaluation of images and datasets. 


Stipend: $3000