Achievement

Trainee David Vanoni is exploring novel video see-through, augmented reality techniques, drawing from immediate-mode feature and artifact detection, data mining and fusion to augment a broad range of location, context and content specific meta-data, turning a mobile device into a magic lens that can be freely applied to discover the untold stories present in historic artifacts. Records obtained via diagnostic imaging, utilize a broad range of the electro-magnetic spectrum, as well as analytical diagnostics, provide rich information about, for example, a site’s surface, sub-surface and volumetric composition, as well as materials used in creating it. These data records are generally massive in size with individual images and models in the gigabytes, requiring novel streaming-based algorithms for data access and augmentation for larger sites. David’s work on ARTifact allows a user to experience historic artifacts in unprecedented ways on popular devices such as smartphones and tablets.