So this came out a few years ago [1] and then it seemed like it just disappeared. This is the second or third thing I have seen on this in just a few days.
It makes me think of the "fabled" (if you will) copy machine, where you basically xerox a physical object. Obviously it's more complex than this, but it's exciting to think about where the 3D model and 3D printing industries are headed, and specifically with development of their intersection
Principally it uses VisualSFM and Meshlab, both of which came to life as testbeds for algorithm research but are now useful in their own right. By all accounts 123D Catch does an excellent job, but is quite rigid in its workflow. Apparently it uses the engine from Acute3D's considerably more expensive Smart3DCapture.
Sadly neither VisualSFM or 123D Catch are usable for commercial work because of license and copyright problems respectively.
Having worked with this kind of software solutions since the ninties I must say that you should really instead look into the software Photoscan from russian Agisoft (www.agisoft.ru) it's alot more flexible and is very cheap ($129 usd)
This was called "Photo Fly" before when it was a "Autodesks Labs project" and I belive the tech originates from when autodesk bought the french software company RealViz that made the software Photomodeler.
Just FYI, You must create account to have an imageset processed. This looks like it is happening server-side, so I suppose there's a reason for it.
Cleverly enough, it doesn't prompt you to do so until after you've taken the 10-20-however-many pictures of your object. I suspect this would make a hell of a difference over a login screen upon launch or capture.
It's not great but it is slowly getting better as the big studios open-source their inhouse formats - Disney, Sony Imageworks and ILM are all doing so and Alembic, OpenVDB, OpenSubdiv, OpenEXR, and Ptex are all widely supported now. The process of opening up things people are already using seems to be working out much better than previous committee- or vendor- driven efforts like FBX, X3D or AAF...
That said, I spent yesterday trying to figure out how to get Leica laser scan data into Houdini, and the only way is to convert to ASCII CSV, so we've got a way to go. Text files are great for debugging, but when you've got 300 million points you pine for the I/O speed of a binary format :/
Autodesk's 123D Catch has been available since 2012. This is just the phone app interface. All the real work is done on Autodesk servers.
It's reasonably good if you take an organized set of pictures for it. A clean background behind the object of interest helps. The object has to have lots of edges for the algorithm to match; sculptured surfaces like cars may not match well. For some purposes, projecting a pattern of dots or lines onto the object is helpful. (The original Kinect did something similar).
Programs for this have been around for years. Most of the improvements have been in doing a better job of guessing about areas where matching edge info isn't available.
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[ 2.4 ms ] story [ 49.3 ms ] threadWhat happened in the interim?
[1] http://blog.123dapp.com/2011/12/3d-scanning-for-posterity
Principally it uses VisualSFM and Meshlab, both of which came to life as testbeds for algorithm research but are now useful in their own right. By all accounts 123D Catch does an excellent job, but is quite rigid in its workflow. Apparently it uses the engine from Acute3D's considerably more expensive Smart3DCapture.
Sadly neither VisualSFM or 123D Catch are usable for commercial work because of license and copyright problems respectively.
This was called "Photo Fly" before when it was a "Autodesks Labs project" and I belive the tech originates from when autodesk bought the french software company RealViz that made the software Photomodeler.
https://beta.autodesk.com/callout/?callid=D69655022B4F42C880...
Cleverly enough, it doesn't prompt you to do so until after you've taken the 10-20-however-many pictures of your object. I suspect this would make a hell of a difference over a login screen upon launch or capture.
Anyone know?
everyone praise every shenangan. companies couldnt care less about integration and dat portability, etc.
That said, I spent yesterday trying to figure out how to get Leica laser scan data into Houdini, and the only way is to convert to ASCII CSV, so we've got a way to go. Text files are great for debugging, but when you've got 300 million points you pine for the I/O speed of a binary format :/
It's reasonably good if you take an organized set of pictures for it. A clean background behind the object of interest helps. The object has to have lots of edges for the algorithm to match; sculptured surfaces like cars may not match well. For some purposes, projecting a pattern of dots or lines onto the object is helpful. (The original Kinect did something similar).
Programs for this have been around for years. Most of the improvements have been in doing a better job of guessing about areas where matching edge info isn't available.