"The problem," noted Dr. Alexei Vranich, "has recently been a kind of 'technological bottleneck,' where large areas are surveyed, but efforts at processing and fusing the data from multiple sensors has slowed the process down considerably. By bringing this level of technological and computer expertise to bear, we should be able to develop a methodology for quickly and efficiently processing the huge amounts of sub-surface data we collect. This will permit archaeologists to develop a far deeper understanding of broad spatial layouts of complex urban sites, like Tiwanaku."
"Our collaboration with anthropologists goes back to two years ago when we started building 3D models of surface structures from camera images," noted Dr. Kostas Daniilidis, leading Principal Investigator and Associate Professor, Department of Computer and Information Science, University of Pennsylvania. "The scientific challenge in this NSF project is in solving the inverse problem of recovering surface 3D structures from their tomographic projections. We really want to resolve the bottleneck between the huge amount of raw signal data and meaningful information in the form of 3D geometric models."
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