Okay, a little late, but here are my notes from CAA Day 4...
On the final day of presentations at the CAA, I drifted around to a variety of sessions and caught a bunch of great papers. Here is a brief summary of the topics I found interesting.
Google Earth for Archaeological Aerial Prospection
Dr. Scott Madry, of the
Searching a study area in Burgundy France, which is represented with 1m resolution aerials, Madry set to work. From his office in
Shortly after his initial remote success, Madry took a trip to the study area with a colleague to field check his results. The field verification proved that through Google Earth, Madry could successfully locate archaeological sites within his study area. The three major sites he initially found turn out to be prerecorded by the local authority, but this only serves as further verification. A large number of additional, unrecorded sites were also discovered. Shortly, I will try to get a few screen shots or KMLs from Dr. Madry to give more detail about his finds.
Quantitative Clustering Method for Pottery Vessel Lots
One of the afternoon sessions was full of a number of interesting papers discussing quantitative approaches to classification. As this holds true with any topic related to typology, this session was full of debate and perhaps a little contention.
One of the great papers in this group was on a project by Angela Labrador of the
Angela has created a site (down on April 23rd) where you can follow the progress of this project.
3D City Modeling from Archaeological Data
In another fantastic project by Tijl Vereenooghe of Katholieke Universiteit Leuven in
Researching the lack of 3D models that accurately portray the less popular domestic areas of well-known archaeological sites, Tijl and his team have developed a way to produce 3D models of entire cities, such as
Using a virtual cityscape engine called City Engine System (I do not think this is yet available from the author), Tijl developed a method for substituting archaeological base maps, building footprints, and functional interpretations as the engines inputs. Shape grammars are developed to address how the facades of buildings with different functions should look. The output data from the City Engine System can then be modeled in many of the high-end 3D packages. For this study, Tijl used Maya to produce his results.
Stills and an animated walk through of the
Future considerations are the modeling of building interiors, the application of scanned facade maps, avatar populations, and ultimately the ability to produce models from geophysical data.
The last day of the CAA did notdisappointt! The quality of papers was astounding. As with the past posts of the CAA, I apologize for any errors or misconceptions I have published about these papers. If the author of the paper or any other reader pick up on my mistakes, please let me know so that I can correct them. My intention is to reflect the author's intent.