Peter's primary interest in this Campfire was learning more from the
archaeologists about future applications of visualization technologies.
In a brief search of the web, he characterized some of the current approaches
of archaeological visualization into three categories:
- scanning and survey data (e.g., remote imaging)
- hand-done reconstructions of 3D (e.g., object abd site modeling)
- resource-intensive reconstructions (e.g., the movie Titanic)
He gave an overview of various research technologies that required less
intervention
- procedural rendering
- geospecific rendering (e.g., augmentation of USGS data, computer vision
techniques)
- physics-based rendering
- simulated plants/animals
- simulated humans
- immersive environments (e.g., walk-thrus of reconstructed sites)
Other emerging technologies discussed included scanning (non-procedural),
image-based rendering, visualization, animation, and physically-based sound.
He showed a photo of a Greek amphitheater with human visitors and set that
as a level of desired realism to converge upon.
Further in the presentation, he offered a hypothetical visualization
system as a future target for graphics and archaeological visualization
scientists to consider. It included the ability to dial in movement in
time and space. It was populated by simulated humans, perhaps even with
behaviors (mentioned MetaCreations' Poser). It had open data entry
and could fill in procedural data wherever needed. A children's book, "A
Street Through Time", gave an interesting analogy to these ideas,
although there were still many issues of user interface (do you keep the
time of day fixed in a year?)
He concluded that there were still big issues about navigation, the
notion of science versus entertainment, and socio-technologic optimizations
that needed to occur. Technologically, many things were possible now, but
the data acquisition and organization was the most daunting. (Peter considered
students as possible contributors to world archaeological databases, given
the right tools to acquire and contribute data to an self-organizing database
system.)