3D Model of New York Available for Free (and Commercial Use)
80.lv
80.lv
To get the customizable and interactive model, you will need to create an account, which gives you free credits every month. Use the currency to download the city or its districts.
Specifically bridges, and would it be easy to extract just bridges from your set?
When I traveled to Japan for work often, I got a puzzle set of all major land bodies that fit into a plastic-slotted-type map of the oceans, so a child woul learn the continents... (All three of my kids are really good at geography because of that puzzle I got.)
But it also had subsets of more complex and smaller-as-you-go pieces such that instead of just "Europe" it waould break down into the individual countries that made up 'europe, scandinavia, asia' etc...
would be cool to be able to print out "times square" 'Harlem' etc as individual sets... and construct a "manhatten island" place by place....
Also, Fun Fact, Golden Gate Park in SF is larger than Central Park in NYC.
Other Idea ; make each model with a QR code on it in relief/raise such that when you print it out, it points to the WIKI page of said famous building....
EDIT:
Oh and if you do this, and you use tiny url you can link the QR codes to the tiny and then be ab;e to use the geocodes for scanning to show you where in the worl the IP is scanning your links to understand the geo traffic from 'thing'
I did this on cannabis labels I designed for a company such that if they had a product scanned, linking them to lab results for cannabis products, it will show where the dispensaries were where customers were scanning / following them from...
it was pretty slick...
If I can see it. With thine owns eyes.
Then I am free to do with whatever I want with that which I can clearly see with mine own eyes.
Specifically if I am standing on 'public' property...
So if it requires me to traverse private ; its yours.
If I can see it from public ; its open source.
Fin.
Inverse procedural modeling discovers a procedural representation of an existing geometric model and the discovered procedural model then supports synthesizing new similar models.
Not sure what the "discovers" actually means, need to find a better reference ... This page [2] summarizes the method like this:
We propose an inverse modeling approach for stochastic trees that takes polygonal tree models as input and estimates the parameters of a procedural model so that it produces trees similar to the input.
So I guess that's roughly the same, then. I still don't quite understand it, if you have to manually model a building, and then get a procedural model's parameter out of that, you still had to model it (=do a lot of work)? Is the benefit that you then can store the parameters and use the model to regenerate the building, thus compressing the representation a bunch?
Cool project anyway, makes me long for NYC! :)
[1]: https://www.cs.purdue.edu/cgvlab/urban/urban-procedural-mode...
> Is the benefit that you then can store the parameters and use the model to regenerate the building, thus compressing the representation a bunch?
A few benefits - we can automatically generate the mesh model at different levels of detail by stripping out elements of the procedural recipe (rather than relying on mesh decimation which gives ugly results). And yeah, compression + error-correction also play a role. Plus compared to photogrammetric models, we have the metadata needed for interactive lighting/simulation.