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This is what I would do. 3 Steps: 1. Scrape every possible image along with location data (if available). Save all these images in Amazon storage. It's best i
by kefka 11y ago
This is what I would do.
3 Steps:
1. Scrape every possible image along with location data (if available). Save all these images in Amazon storage. It's best if you can scrape photo galleries that include building names, sites, or other location descriptive data. Questionable gray area, but this is a mashup of thousands of images.
2. This is now your photogrammetry grid. Take all those photos and generate 3d scenes from the data you scraped.
3. Open up shop with these 3d assets. Charge for quality of object. Extra money if you make it easy to import into UE4, Unity, or Torque and make it "Ready for the Oculus Rift".
- radicalbyte 11y ago4. Get sued for copyright infringement.
- chrischen 11y agoThat would make a splash.
- kefka 11y agoOk. Prove I used Exhibit A in making of this 3d scene.
- chralieboy 11y ago"Here is a subpoena showing the IP address of the AWS instance you controlled along with server logs showing you accessed that image. Based on public statements stating how you compiled the images and comparison between the client's photo and your image, it is not beyond reasonable doubt that infringement likely occurred."
- pbhjpbhj 11y agoWell we've got the server logs showing your AWS instance accessing that image on our server. As copyright is tort the usual burden of proof is balance of probabilities [UK, "preponderance of evidence" in USA I think; please correct if this is wrong in your jurisdiction], I'd say that's enough to swing it that you're going to need to prove you didn't use that image ... oh and we have a HN post replying to you suggesting you do this, which swings the balance a touch further. We can probably have an expert witness testify the scene could use that image (ie they don't visually disagree so much that the scene couldn't have derived from inter alia that image). Not enough perhaps to prove a criminal case ...
- deleted 11y ago[deleted]
- 3327 11y agothats part of business
- pc86 11y agoYou should try getting into a more honest business, then.
- matt_morgan 11y agoIt's a new work, with substantial creativity involved. I don't see it getting anywhere.
- teraflop 11y agoHaving "substantial creativity involved" does not prevent something from being legally considered a derivative work.
- jhayward 11y ago"Substantial creativity" may get you past being a derivative work in Europe, but not in the US. Copyright law differs between jurisdictions. You'd have to be very careful. I like the original idea. What I'd do is make sure the resulting images don't have any significant reliance on any small set of originals. So if challenged, you could re-create the scene w/o the challenged images and show a court that the scene is not closely derived from any single source.
- k_sze 11y ago... 6. Profit.
- hauget 11y agoUnrelated, but are you talking about creating 3d models out of point cloud data or something else?
- kefka 11y agoNope. Pointcloud is just depth data and potentially color data. Photogrammetry is the technique of 3d scanning that correlates feature points within multiple pictures in order to back-project a 3d scene. The more pictures you have of an area, the higher quality the overall scan. So if we have 3000 images of a building's exterior in NYC, we can recreate the building in 3d. My idea was that, for X thousand images, a single image is a trivial datapoint, and could be easily removed with little loss in quality of scan. It may technically be in violation of copyright, but is used for a substantially different work. I believe it could possibly qualify as fair use.
- nightski 11y agoIf you have correlated feature points you essentially have a point cloud no? It's just that photogrammetry adds an additional step of back-projecting the 3d scene?
- deepnet 11y agoUsing a SIFT pipeline for photogrammettry, I have successfully recreated small objects, Comet 67P and some buildings from quadcopter pics. First I search for features with DoG and match them with SIFT , do a bit extra crawling along matched edges and the result is a dense coloured point cloud. The point clouds are converted to a mesh with poisson surface reconstruction and retextured with fragments of the original images. The Poisson surfaces are never quite as nice as the point clouds - I am using Meshlab for this part. Processing a few hundred big images takes ages so I send the jobs up to EC2 for a few hours so each job is usually a couple dollars. It is pretty useful as a 3D scanner.
- hauget 11y agoThat-sounds-amazing. Any chance you could share a link of the end result? Also, any suggestions on how to get started with photogrammetry & computer vision?