A few months ago my mother and my aunt embarked on a bit of a nostalgic exercise to see if they could remember (in proper sequence) the storefronts that populated Brighton Beach Avenue when they were growing up. The endeavor proved tougher than they first thought, but the idea itself has led them down some fun memory lanes.
While trying to dig up some examples for a CPE workshop the other afternoon, one article in Popular Science grabbed my attention: a group of computer scientists built an algorithm that matches hundreds of thousands of photos on Flickr using common elements, like a high-tech jigsaw puzzle. Coupled with software that speeds through 3-D reconstruction, they could then create digital models of three cities in three dimensions.
[youtube]http://www.youtube.com/watch?v=L7NT3BrrsaQ[/youtube]
(In the category of “exceptionally cool,” those diamond shapes along the bottom represent the tourists who are taking the photos.) It’s probably pretty clear the potential this kind of project represents for a wide variety of academic disciplines. As one of the scientists explained, “”If you have a digital representation of something, then you can study it.” (And here I’m reminded of Tom’s earlier post about digital museum tours. Same idea, different scale.) The project also turns camera-happy tourists into quasi-professional archivists, with formerly private shots contributing to a very collective and participatory project.
I did a bit of googling, and found another interesting example of this kind of work, “Rome Reborn.” (I’m clearly behind, since there’s also an App.) A bunch of Engineering and Technology centers collaborated on a project that would create a 3-D rendering of ancient Rome’s development, beginning at A.D. 320. This digital modeling relies on collective efforts too, but here it’s a wide variety of research and data. The results, Rome 2.0, are a far cry from the grainy visuals of the ancient city reproduced in textbooks all over.

These efforts to reconstruct cities—past or present—appeal on two distinct levels. Our desire to preserve the very intimate relationships we have to these places is certainly one (see Luke’s post from a while back, when he explored his old neighborhood with Google Earth). But these projects also satisfy our desire to communicate subjects like architecture and history in more dynamic ways, while incorporating changes over time.
These kinds of tools have been on my mind lately. This past weekend I presented a paper at a conference on development in Brooklyn, and a lot of presentations sought to record—and define– neighborhood change in particular ways. Over lunch, when I told a historical preservationist about my mother’s quest and frustration with the limitations of city records, she told me about a tax survey that had been done in the 1930s, which now provides us with a house-by-house visual record of the period. There seems little doubt that our ability to combine existing visual archives with mapping technologies will mean that it won’t be too long before my mom can reconstruct and represent her old stomping grounds.
Although who knows? I admit to wondering if maybe certain things are best left to memory.


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