Difference between revisions of "TLV3D"

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(→‎how to: Structure from Motion)
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* Python photogrametry toolbox http://www.arc-team.homelinux.com/arcteam/ppt.php
* Python photogrametry toolbox http://www.arc-team.homelinux.com/arcteam/ppt.php
* open multiple view geometry library http://ccwu.me/vsfm/
* open multiple view geometry library http://ccwu.me/vsfm/
= Hardware =
== Cameras ==
* http://www.mightexsystems.com/family_info.php?cPath=1_252_273&categories_id=273
* http://www.ptgreystore.com/ - mighty expensive (650$ for USB 3.0 camera, but 64x64 350 fps is interesting - although not for this :)
= Map Stitching =
* http://mapknitter.org/

Revision as of 13:25, 10 December 2013


The idea - to map TLV in 3D using any means possible.

We maintain the data on official TAMI superclusters and release it as emperors of the digital realm.

Alon translation: open data map of Tel Aviv (same license as openstreetmaps).

what already exists

Under open licenses (CC / other)


Other not open licenses

metroscape has 3d models of a few tens of bldgs in tlv

  • requires windows/mac for the plugin, and no download link for any model (STL/other). -- Alon

googleearth has also a few tens of tlv buildings


will google come and nail it all down ? if we scoop them we get to ride in the google helicopter.

how to

The 3d scanners such as mantis and kinect are apparently not set up for long ranges like 10-50m which is what we're after to get buildings. Satellite photos probably are not of help here due to shallow angles and probable closed source-ness. A quadcopter may be of use but would take massive time and batteries. Rough order of magnitude of the problem:

one street every 50m

about 20km^2 of area in TLV

--> 800 km of street in TLV

--> a car / bike mounted 3d scanner is needed.


from several cameras with known relative angles and baseline, reconstruct 3d info using known algorithms

structured light

try to obtain 3d info from a large-ified kinect hack

it is possible to build a massive structured light rig, using a 3000+ ansi projector and a DSLR.
see here > https://code.google.com/p/structured-light/

stereo (camera + laser, use parallex) maker scanner

an opensource diy scanner here

Time of Flight

Cheap LiDARs (relatively) @Hokuyo

  • 10m distance (this model, there are others, maybe 30m? also indoors/outdoors differs)

VL6180 by ST.

Structure from Motion (SfM)

Wikipedia article.

Not necessarily with an IMU, just a camera.



Map Stitching